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Together we fight for everyone's opportunity for a better financial future. We will do this together - with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone's access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future. We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action. We are committed to a work environment where the differences that we are born with - and those we acquire throughout our lives - are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage- Apply Now Note: The desired location for this role is in CT in a commutable distance from the Windsor CT office. It will be a hybrid role (2-3 days a week in office). Note: at this time we are not considering candidates who will require sponsorship now or in the future. About the Role We're looking for a versatile Data Scientist to join our growing analytics team. In this role, you'll partner closely with business stakeholders to unlock value from data-whether that's predicting advisor behavior, identifying growth opportunities, or automating manual workflows. You'll be hands-on across the entire data science lifecycle: wrangling data, building and deploying machine learning models, and supporting the MLOps and infrastructure needed to scale solutions across the organization. This is a high-impact role for someone who blends deep technical skill with business curiosity-and who is passionate about deploying ML models and analytics into the real world. Key Responsibilities Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Minimum Qualifications Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. 5+ years of experience in a data science, ML engineering, or analytics role. Strong SQL, Python and ML Techniques programming skills. Experience with Azure Cloud, Databricks, and/or Snowflake. Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. Experience with tools such as Git, MLflow, Docker and workflow schedulers. Ability to communicate complex technical work to non-technical stakeholders. Experience with scalable model training environments and distributed computing. Preferred Qualifications Master's degree in a quantitative or technical discipline. Experience in financial services, fintech, or enterprise B2B analytics. Knowledge of A/B testing, causal inference, and statistical experimentation. Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex. Compensation Pay Disclosure: Voya is committed to pay that's fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. Actual compensation offered may vary from the posted salary range based upon the candidate's geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. $97,160 - $152,880 USD Be Well. Stay Well. Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That's why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well. What We Offer Health, dental, vision and life insurance plans 401(k) Savings plan - with generous company matching contributions (up to 6%) Voya Retirement Plan - employer paid cash balance retirement plan (4%) Tuition reimbursement up to $5,250/year Paid time off - including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day. Paid volunteer time- 40 hours per calendar year Learn more about Voya benefits (download PDF) Critical Skills At Voya, we have identified the following critical skills which are key to success in our culture: Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations. Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution. Team Mentality: Partnering effectively to drive our culture and execute on our common goals. Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage. Learn more about Critical Skills Equal Employment Opportunity Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law. Reasonable Accommodations Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities. Misuse of Voya's name in fraud schemes

Figure is an AI Robotics company developing a general-purpose humanoid. Our humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA, and require 5 days/week in-office collaboration. It's time to build. We are looking for an experienced Senior Data Engineer to develop and optimize our data processing infrastructure and tools, enabling deep insights from robotic system logs.In this role you will transform robot logs and other sources of data to extract information, identify patterns, provide access to the data and visualization tools. Your work will help ensure that the robot is operating reliably at maximum performance, and inform engineering design trades and decisions. Responsibilities: Develop and maintain pipelines and tools to transform robot logs to make it easier to access, visualize, and automatically detect events of interest. Optimize data processing to reduce the time needed between data offload and the availability of the data to our engineering teams. Design and optimize data storage solutions for handling complex, high-volume time-series and structured data. Build and maintain database schemas and queries to support analytics and visualization of extracted patterns. Support mechanical, electrical, software, integration and test engineers with their needs to extract and visualize data. Develop dashboards and custom data visualizations tools to enable engineers to quickly extract information from the data and track robot performance. Integrate your solutions with existing data pipelines and our robot testing framework. Requirements: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, preferably with time-series or log data processing. Proficiency in Python with experience in Pandas, Polars, or PySpark for large-scale data processing. Strong understanding of database design, indexing, and query optimization (SQL and NoSQL). Experience handling complex data formats such as Parquet, MCAP, or protobuf. Experience building custom web based data visualization tools (JavaScript, React…) Familiarity with data visualization tools like Grafana for real-time analysis and monitoring. Experience with distributed computing frameworks and cloud-based data storage solutions. Strong debugging skills and ability to work with lab teams to interpret robotic system logs. Bonus Qualifications: Experience with CI/CD pipelines for automated data processing. Knowledge of robotics or embedded system logging frameworks. Familiarity with real-time data streaming and event-driven architectures. The US base salary range for this full-time position is between $140,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data Science and Machine Learning Engineering team you will design and develop AI/ML systems that transform client operations. As a Senior Associate, you will lead projects from conception to production, mentoring others while engaging clients to align technology with business objectives. This role allows you to stay at the forefront of AI advancements and contribute to innovative solutions that drive business success. Responsibilities Conduct experiments to validate and refine models Stay abreast of advancements in AI and machine learning Work with diverse teams to foster innovation Translate technical models into scalable business solutions What You Must Have Bachelor's Degree 3 years of experience What Sets You Apart Demonstrating leadership in team environments Communicating technical concepts to diverse audiences Building and deploying machine learning systems Programming proficiency in Python Working with AI frameworks like Pytorch and Tensorflow Familiarity with MLOps and deployment tools Understanding generative AI model development Managing time effectively under deadlines Passion for continuous learning and knowledge acquisition Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $55,000 - $187,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

DATA SCIENTIST Concurrent Technologies Corporation FT. Meade, MD Minimum Clearance Required: TS/SCI with CI Polygraph Clearance Level Must Be Able to Obtain: TS/SCI with FS Polygraph Concurrent Technologies Corporation (CTC) is seeking a Data Scientist with expertise in sensor fusion, state estimation techniques, and remote sensing phenomenology to support advanced research and development efforts in national security and defense. This position involves working with real-time sensor feeds, applying advanced analytics, and helping to detect, assess, and anticipate emerging threats. The ideal candidate will bring strong domain knowledge, hands-on technical ability, and a passion for problem solving in mission-critical environments. Key Responsibilities Develop and apply state estimation algorithms and sensor fusion models to process multi-modal data streams from remote sensing platforms. Analyze and interpret complex sensor data feeds (e.g., radar, EO/IR, RF) and real-time messaging services to enable situational awareness. Model system behavior under dynamic conditions using tools such as Kalman filters, particle filters, and Bayesian inference techniques. Collaborate with multidisciplinary engineering, analytics, and mission teams to support rapid prototyping and operational systems development. Support identification and characterization of advanced threats and adversarial tactics through data analysis and pattern recognition. Translate technical findings into actionable insights and communicate effectively with both technical and non-technical stakeholders. Stay current with advancements in applied data science, AI/ML, and sensor processing technologies. Basic Qualifications Bachelor's or Master's degree in Mathematics, Statistics, Physics, Aerospace Engineering, or a related quantitative field. With 6-8 years of related experience, or a Master of Science degree with 4-6 years of experience, or a PhD with 2-4 years of experience Hands-on experience with sensor fusion techniques and state estimation algorithms (e.g., Kalman filters, SLAM, tracking filters). Strong understanding of remote sensing phenomenology, including knowledge of radar, lidar, or electro-optical systems. Experience with real-time messaging architectures (e.g., ZeroMQ, DDS, Kafka). Familiarity with advanced threat modeling and detection strategies in the context of national defense or intelligence. Proficiency in programming languages such as Python, MATLAB, or C++, with experience in scientific computing or simulation environments. Preferred Qualifications Experience working on DoD or government-sponsored R&D projects. Prior exposure to operational military systems, UAS, or ISR platforms. Knowledge of AI/ML tools for signal and sensor data exploitation. Experience with time-series databases and geospatial data processing. Why CTC? Our teams at CTC are passionate and thrive on collaboration in a team environment When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges Competitive salary and benefits package Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life · Visit www.ctc.com to learn more Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work. https://concurrent-technologies-corporation.breezy.hr Staffing Requisition: SR# 2025-0068 "We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. Your day at NTT DATA The Data Center Technician provides a working level of data center knowledge and is responsible for the operational integrity and regulatory compliance of the data center electrical, mechanical, and fire life safety systems. The Data Center Technician maintains and follows the processes that maximize customer uptime in the most cost-effective way. Ensures that data center problems are identified and repaired quickly, that contractors deliver quality services, and that internal customer demands are met. What you'll be doing ESSENTIAL DUTIES & RESPONSIBILITIES Develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Systems of responsibility include: Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Tests performance of electromechanical assemblies and electronic voltmeters. Reads blueprints, schematics, diagrams, or technical order to determine methods and sequences of processes. Inspects parts for surface defects. Installs electrical or electronic parts and hardware in housings or assemblies, using hand tools. Aligns, fits or assembles component parts, using hand or power tools. Operates, monitors, maintains, and responds to abnormal conditions in facilities systems. Areas include: Mechanical, Electrical, Fire Life Safety, and Building Monitoring and Control Analyzes systems to ensure best practices for both internal and external customers Provides feedback to DCO Engineering on the effectiveness of existing standards and processes Works with contractors and consultants to review quality assurance for all system expansions, corrections, and upgrades Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive maintenance program Ensures data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies and improving overall efficiency, and cost reduction. Manages systems to avoid unplanned customer-impacting events Works with CF Ops Lead Technician to determine maintenance requirements for mechanical, electrical, and fire life safety systems. Performs other duties as assigned Regular, predictable attendance is essential to satisfactory performance. KNOWLEDGE, SKILLS & ABILITIES Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems Knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety Current knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations) Familiarity with data trending / tracking and analysis and the ability to utilize a PC based integrated critical monitoring systems Ability to process Hands and Eye requests as required i.e., Tape Rotation, Rack and Stack of equipment, inventory hardware, power cycle devices, patch cable install/removal Demonstrated hands-on experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including: Chilled Water Systems Large Centrifugal Chillers Cooling Towers Heat Exchangers Water Treatment Systems VFD's and Pumps HVAC equipment CRAC/CRAH's Humidification Systems Water heaters Water/Air filters BMS and PLC Controls Emergency Standby Diesel Generator Systems Fuel/Oil systems, 480/277 and 208/120 electrical generation and distribution Static UPS Systems Double Interlock Pre-Action Systems Excellent communication skills, both written and oral Proficient with MS Office Suite (Word, Excel, PowerPoint, Project) Ability to communicate effectively with customers and internal staff and effectively work in team environment Ability to coordinate, supervise, and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to learn quickly and address issues as they arise during normal working hours or after hours. Ability to operate in and promote a rigorous process-driven team environment Ability to logically analyze and solve problems Ability to effectively multi-task multiple projects Ability to operate Hand and Machine Tools (hammer, drill, saw, etc.) Ability to operate electrical tools such as a multi-meter or infrared camera Ability to operate a forklift Must be comfortable working in a high stress, fast paced environment with shifting priorities. Must be able to work on a shift which may require nights, holidays, and some weekends. Work Hours/Shift: 8A-4P for initial training, 6A-6P once on shift. M-F for initial training, wk1: Sun, Wed, Thurs, wk2: Mon, Tues, Fri, Sat Possess critical thinking and complex problem-solving skills #GlobalDataCentersCareers #LI-NP1 L1 EDUCATION & EXPERIENCE High School Diploma required. Associate's Degree or equivalent education and/or work experience and a minimum of 2 years in a mechanical/electrical position within critical facilities (preferably a data center, hospital, semi-conductor, or power plant) required. CPR/First Aid and NFPA70E Certified during employment. Possession of an OSHA approved forklift certification or the ability to obtain one after hire required. PHYSICAL REQUIREMENTS Primarily walking, standing, and bending with some sitting. Ability to communicate effectively with verbal, visual and listening skills Close visual work on a computer terminal. Dexterity of hands and fingers to operate any required equipment as well as to operate computer keyboard, mouse, and other technical instruments. Able to lift and carry heavy equipment, up to 50 pounds. Ability to climb ladders and work on raised platform. WORK CONDITIONS Data Center environment with varying temperatures and loud noises. Potential extensive daily usage of workstation or computer. Must work on-site; no telecommuting permitted. SPECIAL REQUIREMENTS Must be willing to be part of the after-hours notification and escalation protocol. Must wear leather close-toed shoes with a solid rubber sole. This position requires work to be done onsite at a data center facility and may require use of a personal mobile device. A monthly stipend will be provided to cover expenses incurred for using a personal device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Hourly base salary for this position is $27.80 - $ 41.60 and is eligible for overtime pay in accordance to local state and federal 'Wage and Hour' requirements. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

HOPE (Hope Enterprise Corporation, Hope Credit Union and Hope Policy Institute) provides financial services; leverages resources; and engages in advocacy that strengthens the financial health of people in under-resourced Deep South communities. Since 1994, these efforts have benefited more than three million people in Alabama, Arkansas, Louisiana, Mississippi and Tennessee, and influenced billions in persistent poverty communities across the nation. Learn more at https://www.hopecu.org/ . Title: Data Engineer Department: Data Analytics Reports To: Manager, Advanced Data Analytics Supervises: N/A Job Classification: Exempt, Full-time Job Summary: HOPE is seeking a Data Engineer to join our growing team of data experts. The Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and architectures to support efficient data collection, processing, and analysis. This position is located in the Jackson, MS corporate office or available via telecommute within our five state footprint, including MS, LA, AR, AL, and TN. Occasional travel to the corporate office in Jackson, MS for in-person team meetings is required. Responsibilities: Data Integration: Integrate data from various sources, ensuring data consistency, quality, and reliability. Data Pipeline Development: Design, build, and maintain scalable data pipelines to support data warehousing, analytics, and reporting needs. Data Preparation and feature Engineering: Support with Data preparation and feature engineering for models. Performance Tuning: Optimize data processing and retrieval performance, ensuring efficient handling of large datasets. Azure Expertise: Utilize Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Gen 2 to build and manage data solutions. Spark and Databricks: Leverage Spark and Databricks for data processing and analytics. Data Governance: Utilize Azure Purview to ensure adherence to data governance policies and procedures, maintaining data quality and security standards. Data Quality: Develop and maintain Data Quality Assurance standards, pipelines, and reports for data in our environment Collaboration: Work closely with data scientists, analysts, and IT teams to understand data requirements and deliver effective data solutions. Secondary Functions Technical Support: Provide technical support for data-related issues and troubleshoot problems as they arise. Documentation: Maintain comprehensive documentation of data processes, architectures, and workflows. Continuous Improvement: Stay current with industry trends and best practices, recommending improvements to existing processes and technologies. Required Qualifications Bachelor's degree (or higher) in Computer Science, Engineering, or a related discipline. 6+ years of experience in data engineering or a related field Strong proficiency in SQL and experience with Python, R, Java, or Scala Travel up to 25% (training, meetings, etc.) Preferred Qualifications: Azure Tools: Experience with the Azure Data Engineering tools including; Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Gen 2 and Purview is required Spark and Databricks: Experience with Spark/PySpark/SparkR and Databricks for data processing and analytics is required Competencies/Skills Data Visualization tools: Experience with Power BI or Tableau is required Data Modeling: Knowledge of data modeling techniques and best practices. Data Integration: Experience with data integration tools and techniques. Problem-Solving: Excellent problem-solving and analytical skills, with attention to detail. GCP Tools: Familiarity with the Google Cloud ecosystem is an added advantage. Communication: Strong interpersonal and communication skills, capable of collaborating effectively with cross-functional teams. Organizational Skills: Ability to manage multiple projects and tasks simultaneously. Project Management: Experience with project management methodologies and tools. Organizational Awareness: Having and using knowledge of systems, situations, procedures, and culture inside the organization to identify potential problems and opportunities; perceiving the impact and the implications of decisions on other components of the organization. Results Orientation: Being persistent and showing perseverance on achieving concrete and tangible results out of personal responsibility; getting optimum results from situations and being ready to take action and show tenacity in case of obstacles or resistance. Regulatory Compliance Requirements Must comply with provisions of the Bank Secrecy Act (BSA). Must comply with all provisions of the Privacy of Consumer Financial Information regulations. Must comply with all provisions of the Right to Financial Privacy Act. Specified Authority Level Access to CFO paper and computer files. The Data Engineer will be granted systems administrator permissions to appropriate software systems by the Information Security Officer. Physical Demands The employee is regularly required to sit, stand, and walk. The employee will use hands to finger, handle, or feel, reach with hands and arms, and talk or hear. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work Environment Under normal circumstances, an employee spends most of their time in an office environment, accessible to the public, customers, and potential customers. Employees who telecommute must have access to a quiet environment suitable for professional work, high-speed internet capability, and be able to participate in video conference sessions. Remote employees are expected to maintain availability and responsiveness during standard corporate business hours, typically 8:00 AM to 5:00 PM in their local time zone, unless otherwise agreed upon with their supervisor. If a non-essential employee wishes to work at a HOPE location, he/she must conform to work, and safety requirements implemented by the Human Assets Department. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Hope Enterprise Corporation does not participate in or engage in any form of visa sponsorship, including employment-based visa applications or extensions (e.g., H-1B, TN, O-1, OPT, STEM OPT, etc.). Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Join our global team dedicated to innovation and initiative, where physical walls and different time zones don't limit, but encourage, collaboration. Where all contributions and new ideas are explored with an open mind and work is driven by our shared values: be courageous, be accountable, be honest, be inclusive and elevate others. Job Description Summary The Senior Data Manager ensures DM tasks for the assigned studies are performed on time and within budget, partners with Sponsors, clinical and statistics to develop the data collection specification from all data sources The Senior Data Manager manages in-stream data flow activities and deliver a quality database in accordance with the project plan, leads and drive the DM team, and acts as the reference point for the Sponsor and the appointed person responsible for the project from the data management perspective Job Description ROLE The Senior Data Manager ensures DM tasks for the assigned studies are performed on time and within budget, partners with Sponsors, clinical and statistics to develop the data collection specification from all data sources The Senior Data Manager manages in-stream data flow activities and deliver a quality database in accordance with the project plan, leads and drive the DM team, and acts as the reference point for the Sponsor and the appointed person responsible for the project from the data management perspective. KEY RESPONSABILITIES Accountable for driving achievements of project milestones from study start up through to delivery of database Provide Data Management input into the protocol Design the Case Record Form and guide process for CRF approval Define and develop the Data Management Plan, Data Validation Plan and their annexes (e.g. Reconciliation Plan), with input from the study team Validation of the database and computerized checks, including SAS listings or SAS checks Validation of the database and computerized checks, including SAS listings or SAS checks For EDC studies, define the User Acceptance Test Plan (UAT) and execute the test activities in the test environment to ensure quality eCRF For EDC studies timely response to issues identified by the eCRF Helpdesk Prepare CRF completion guidelines Prepare study specific data-entry guidelines and train data-entry staff Perform term coding for clinical studies, raise manual queries for uncoded terms as required Query management: review discrepancies, review answered queries, resolve and close where appropriate, manage the data cleaning process including manual checks and Medical Review listings Create and test import programs for electronic data received from external vendors Perform timely data integration of CRF and non CRF data (data import from external sources) Perform reconciliation of external data (e.g. SAE, Central Labs, ECGs, etc) Run and monitor study data progress reports including query management and take appropriate actions (e.g. escalation, re-training, etc), escalate any study issues within study team Define and execute QC plan, lead and execute database release and database freeze activities Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing Input into and monitor progress against study project plan and escalate issues to resolution at the appropriate level Effectively contribute in formal training for new starters Demonstrate good application of document management process and procedures Follow SOPs and guidance documents as well as applicable industry standards like ICH, GCP etc to day-to-day activities Make recommendations for process improvements and development of new standards Develop and maintain a network of contacts within the study team Lead the DM team, coordinate other DM staff providing direction regarding work assignment, scheduling and prioritizing; monitor progress of activities Maintain continuous and appropriate communication with sponsor and share with them critical and general issues Effectively represents Data Management in internal or external meetings (e.g. Investigator's Meetings) Conduct other activities as required DESIRED QUALIFICATION & EXPERIENCE Degree in life science, pharmaceutical, biology or related field or at least 5 years' experience in data management field or similar in a pharmaceutical environment or equivalent Knowledge of Data Management processes Knowledge of pharmaceutical industry guidelines like ICH, GCP Experience in oncology studies, with focus on early phase oncology studies Knowledge of Medidata RAVE EDC, Proficient TECHNICAL COMPETENCES & SOFT SKILLS English, Good MS Office Suite, Good Professional Trustworthy Ability to effectively prioritize Quality focused Personable Attitude Willingness to learn Team Player Effective Stress Management Techniques Learning Agility Ability to Manage Conflict Problem Solving Skills Effective Verbal Communication Skills Commercial and Technical Writing Skills Networking Skills Languages English Education Bachelor of Science (BS): Biology, Bachelor of Science (BS): Life Sciences, Bachelor of Science (BS): Pharmacy Contract Type Regular

Design Strategy at Gensler is focused on enabling transformation-our creative and collaborative approach, supported by data and intelligence, enables impactful change and evolution of our clients' organization, culture, and environment. Our practice in New York is growing and we are looking for an Data Visualization/Graphic Designer to create compelling data visualizations on projects across a broad range of services including workplace strategy, real estate portfolio strategy, change management, and design guidelines. We're primarily focused on developing holistic experiences for a wide range of influential organizations such as major corporations, healthcare providers, cultural institutions, developers, and universities. We are looking for established leaders with an entrepreneurial spirit who will help us develop and strengthen our client relationships and evolve our practice. Your Role As an Data Visualization/Graphic Designer in our New York Strategy Studio, you will leverage your conceptual, graphic, UI/UX, and storytelling skills to bring visual meaning to the strategies we're developing for clients across industries and sectors. You'll collaborate closely with both strategy and design teams to synthesize data and feedback into meaningful insights that can be visualized in new ways across mediums including static, dynamic, and interactive platforms like Microsoft Power BI. What You Will Do Design compelling, accurate, and engaging data visualizations that organize statistics, research, design process and other information into a cohesive story for a variety of media (digital, mobile, and print) Create and prototype aesthetically pleasing and user-friendly interfaces Develop and maintain data visualization templates and materials Develop and implement design concepts and data visualizations for internal and client-facing reports, presentations, and website/interactive platforms Propose and develop ideas for new and compelling ways to communicate findings that elevate our deliverables while aligning with our client's brand vocabulary Your Qualifications 5+ years of related work experience as a graphic designer, with experience creating both interactive and static infographics A strong portfolio demonstrating excellent command of information design to represent and simplify complex ideas in clear and visually compelling ways Bachelor's degree in graphic design, data visualization, or information design (B.F.A., M.F.A., or equivalent) Facile with the latest design, UI/UX, and data visualization software (Adobe Creative Suite, Microsoft Office, Tableau, Figma, High Charts, eCharts, and/or D3), Power BI a plus Experience working with web developers/programmers in the development of online, interactive infographics and content Ability to produce content and collateral using multiple formats, including digital, web/interactive, as well as print A foundational understanding of design systems and templates, grid structures, layout principles, color theory and informational design Strong interpersonal skills, with a willingness to communicate positively and professionally with both clients and colleagues Ability to work on multiple projects simultaneously Ability to thrive in a fast-paced team environment under tight deadlines, with attention to detail and an emphasis on accuracy and quality In order to be considered, please include work samples. About Strategy at Gensler Gensler's Strategy Practice is focused on exploring and defining how space, technology, services, and policy can create great experiences and support organizations' best work. Our multidisciplinary global team works with a wide range of organizations including major Corporations, Healthcare and Cultural Institutions, Real Estate Developers, and Universities. We use in-depth user research and engagement to explore and develop strategies that enable our clients to meet their business and organizational objectives. With our design teams here in New York and around the world, we conceptualize and implement creative solutions that support our client's needs. In parallel, we help our clients manage change to ensure new ideas take root, and to build capability that sustains. The base salary range will be estimated between $87,500-100k plus bonuses and benefits, contingent on relevant experience. Life at Gensler At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to "Well-being Week," our offices reflect our people's diverse interests. We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice-annual bonus opportunities. Our annual base salary range has been established based on local markets. As part of the firm's commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 25, 2025

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Responsible for the technical data management across a platform, system or application supporting a business-critical process. Responsible for executing the policies, standards, and best practices. Responsible for technical onboarding metadata and data management controls across technical systems. Technical Lineage Management: a. Technically implement business lineage for CDEs - collaborate with Business Data Stewards. b. Technically onboard new data flows for corresponding CDE lineage - collaborate with Business Data Stewards and Divisional Chief Information Officer delegates. c. Technically validate data sources - collaborate with Business Data Stewards and Divisional Chief Information Officer delegates. d. Perform technical lineage traceability mapping - collaborate with Business Data Stewards. e. Technically execute lineage change requests - collaborate with Business Data Stewards. f. Adhere to and follow all applicable policies and procedures; proactively escalate issues and risks to senior leadership's attention. g. Provide and/or present reoccurring CDE lineage update reports, as directed - collaborate with PMO resources. h. Practice continuous process improvement by developing ways to assess and maximize opportunities for performing job functions more efficiently. i. Support development of new product features and analytical tools as required. j. Share lineage knowledge and tool acumen with Business Data Stewards Relationship Management a. Manage relationships with the Business Data Stewards, sharing lineage knowledge and supporting new requests. b. Partner with Technical Data Stewards across data management products, looking for synergies across products. Product Management a. Plan, promote, manage and coordinate activities for lineage products and ensure synergy with related data management product managers to meet objectives. b. Manage product direction through ongoing assessment: current capabilities / integrations vs business requirements. c. Support development of new products and/or extensions as required. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Responsibilities include implementing and maintaining data management and governance controls across a technical system, platform and application supporting business critical processes and the associated critical data elements (CDEs) that support them. Business Metadata Management: a. Technically onboard new CDEs that are specific to corresponding Business Unit or Corporate Group - collaborate with Business Data Stewards. b. Technically implement business metadata across CDEs. c. Technically execute CDE change requests - collaborate with Business Data Stewards. d. Perform technical traceability mapping - collaborate with Business Data Steward. e. Technically validate and certify trusted sources - collaborate with Business Data Stewards. Data Quality: a. Technically implement Data Quality rules and standards for CDEs. b. Collaborate and coordinate with Data Quality Lead and team, Data Quality Issues Management Group, and Data Domain Working Group to align Data Quality rules and standards for corresponding Business Unit or Corporate Group with enterprise-level Data Quality rules and standards - collaborate with Data Quality COE Lead and team, Data Quality Issues Management Group and Data Domain Working Group. c. Operational oversight of Data Quality rule execution. d. Technically track data issues and risks, and develop associated mitigation strategies for corresponding Business Unit or Corporate Group. e. Participate in Data Quality Issue Management Group and provide Corporate Group- or Business Unit-specific information - collaborate with Data Quality Issue Management Group. f. As member of Data Quality Issue Management Group and/or Data Domain Working Group, escalate Data Quality issues and considerations as necessary to the Enterprise Data Governance Council - collaborate with Enterprise Data Governance Council. g. Assist in resolving Data Quality Issues, either as part of Business Unit / Corporate Group or as part of the Data Quality Issue Management Group or as part of the Data Domain Working Group - collaborate with Data Quality Issue Management Group; Data Domain Working Group. Enterprise Metadata Repository / Metadata Catalogue: a. Technically onboard new CDEs' related business metadata - collaborate with Metadata COE. b. Technically update central metadata repository with business metadata content (business terms, definitions, classifications, and business and Data Quality rules) - collaborate with Metadata COE and Business Data Stewards. c. Discover and execute CDE metadata update requests - collaborate with Metadata COE. d. Technically implement CDE metadata change requests approved with Data Domain Working Group - collaborate with Data Domain Working Group. Data Privacy, Classification, Retention and Archiving: a. Technically implement Data Privacy rules in partnership with the Business Data Steward. b. Partner for technical implementation for defining archiving, retention, and data destruction requirements for CDEs for corresponding Business Unit or Corporate functions in collaboration with the CDAO and Chief Privacy Officer. c. Technically monitor data classification for data elements for corresponding Business Unit or Corporate Group. d. Technically implement data monitoring for alignment with national and regional laws, rules, regulations as well as with corporate ethical standards. Data Sharing, Access Control and Data Transfer: a. Partner to technically implement and maintain Data Sharing Agreements. b. Ensure technical implementation and monitoring across CDE's shared across multiple business units/corporate functions. c. Technically monitor data classification for data elements across systems, applications and platforms. d. Report or escalate data privacy issues to Data Privacy Group - collaborate with Chief Privacy Officer and team. e. Technically monitor data for alignment with national and regional laws, rules, and regulations as well as with corporate ethical standards. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equivalent combination of advanced education and related experience, which could include any combination of: 3-5 years' experience managing software engineers and systems analysts. Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions. Management level communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services. Knowledge of current and emerging application software products and tools Project management experience to include multi-million dollar projects completed on time, within budget and delivering quality results Strong analytical and architectural skills Ability to manage a high volume of internal client relationships Knowledge of all phases of software engineering life cycle and experience with process improvement models Preferred Qualifications: Bachelor's degree in business analytics, computer science, Information Technology, or a related field. Knowledge of data management tools (e.g. Manta, Alation) Knowledge of Data and Analytics including emerging trends Understanding of banking operations, risk management, and regulatory compliance. Good leadership, communication, and interpersonal skills. Project management experience. Familiarity with machine learning, data analytics, and artificial intelligence in financial institutions Banking or financial services experience. General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. About the Role: Our methodologies rely on billions of documents we've accumulated since our founding, with tens of millions more added daily. The machine learning models we develop are integral to organizing and processing this data. As a Senior Data Engineer specializing in MLOps, you will: Develop large scale data processing pipelines Create data assets from unstructured data Scale batch and online inference Automate and optimize machine learning training workflows Enhance and expand our CI/CD processes Author design documents Participate in code reviews Collaborate with a talented cross-functional team of engineers, data scientists and subject-matter experts What makes you a great fit: 5+ years of software engineering experience Previous experience working in a data heavy role, preferably dealing with model deployment and inference workflows Understand how to use cloud infrastructure effectively Are a natural problem solver with an affinity for data Are opinionated about how software is built Are proficient at breaking down large, sometimes ambiguous, problems into well-defined tasks Value shipping code early and often Have a well-honed mental model for how software systems execute and interact Technologies You'll Work With At Strider, you'll use a mix of the following tools and technologies: Languages: Python, Rust Frameworks and Libraries: Ray, vLLM, Flask, SageMaker DevOps: GitHub Actions, AWS (ECS, Lambdas, Step Functions) Databases and Search: DynamoDB, RDS, Elasticsearch Benefits Competitive Compensation Company Equity Options Flexible PTO Wellness Reimbursement US Holidays (Office Closed) Paid Parental Leave Comprehensive Medical, Dental, and Vision Insurance 401(k) Plan Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. The industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as the Enterprise Data Leader at MMA. Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. The Enterprise Data Leader will oversee MMA's data strategy, ensuring data governance, quality, and accessibility to support business decision-making. This role will lead initiatives for data integration and management across the enterprise, including a strong focus on enhancing the integration of acquisition data. Working with business strategy leadership, this role will be at the forefront of the MMA data platform, responsible for overseeing the collection, management, and analysis of data across MMA. In addition this leader will support global MMC initiatives to bridge and unify data when applicable to MMA. This role will establish best practices for data governance and ensure that our data initiatives align with business objectives, driving insights and informed decision-making throughout the organization. The Enterprise Data Leader will collaborate closely with cross-functional teams, including IT and operations, to identify data needs and translate them into actionable strategies. Guiding the team through the entire data lifecycle, from data acquisition and cleaning to analysis and reporting. In addition to mentoring and empowering the team, this leader will champion a culture of data-driven decision-making and continuous improvement across the organization. Staying abreast of emerging technologies and industry trends, they will evaluate new tools and methodologies to enhance our data capabilities and drive operational efficiency. Key Responsibilities: Data Platform Leadership: Own the design, implementation, and management of enterprise data platforms, including data lakes, data warehouses, and data integration tools. Partner with infrastructure and security teams to ensure scalable, resilient, and secure environments. Data Architecture and Engineering: Define and evolve data architecture standards and patterns for ingestion, transformation, and delivery. Oversee the development and support of robust data pipelines to ensure high-quality, timely data access. Responsible for aligning data architecture with enterprise architecture and business goals to ensure that data systems are integrated effectively, including strategy around new acquisition data integration. Governance & Quality: Operationalize data governance across domains, driving metadata management, lineage, stewardship, and quality frameworks. Collaborate with legal, compliance, and security teams to ensure all data meets regulatory and privacy standards. Team Leadership & Organizational Development: Lead and grow a team of data architects, engineers, and governance professionals. Create a high-performing, collaborative, and accountable team culture aligned with enterprise goals. Business Partnership & Enablement: Partner with analytics, operations, and functional leaders to deliver reliable data services that meet strategic and operational goals. Act as a key advisor to the enterprise data strategy group, shaping priorities, investments, and adoption paths. Operational Oversight: Ensure efficient operations, capacity planning, and incident response within the data services domain. Establish SLAs, KPIs, and reporting to measure data team performance and platform value. Emerging Technologies Evaluation: Stay informed about emerging data technologies and industry trends, evaluating their potential impact on the enterprise data environment and recommending adoption where appropriate. Our future colleague. We'd love to meet you if your professional track record includes these skills: Enterprise Data Architecture: Extensive experience in designing and implementing enterprise data architectures that support data integration and analytics initiatives. Data Governance Expertise: In-depth knowledge of data governance frameworks, data quality standards, and best practices in data management to ensure compliance and integrity. Analytical Tools Proficiency: Familiarity with data analytics tools and programming languages (e.g., SQL, Python, R), as well as data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights. Modern Data Technologies: Proficiency in modern data storage technologies (e.g., SQL, NoSQL) and experience with cloud data platforms (e.g., AWS, Azure) to leverage scalable data solutions. Data Standards and Security: Experience in establishing and enforcing data standards, security protocols, and performance benchmarks to protect organizational data assets. MMA IT Leadership Core Requirements: Business Acumen: Strong understanding of business operations and strategy, with the ability to align technology decisions with business goals and drive value for the organization. Cross-Functional Leadership Experience: Proven ability to lead cross-functional teams and initiatives, fostering collaboration among IT, business units, and other stakeholders to achieve common goal. Strong Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex architectural concepts to both technical and non-technical stakeholders effectively. Problem-Solving Skills: Strong problem-solving skills, with a track record of identifying and resolving complex technical challenges. Leadership and Mentorship: Demonstrated leadership skills, with experience mentoring and developing team members and proven track record of growing leaders. Financial and Operational Management: Proven ability to manage team budgets, ensuring financial resources are utilized effectively to meet key metrics, project and departmental goals. Enterprise Transformation: Demonstrated experience in leading large-scale enterprise transformation initiatives, including successful implementation of new technologies and processes. Change Management: Proven experience in leading change management efforts related to technology, people, process and digital enablement ensuring stakeholder buy-in. Agile Transformation Leadership: Experience in leading Agile transformation initiatives within IT teams, fostering a culture of collaboration, flexibility, and responsiveness to changing business needs. Continuous Improvement Focus: A commitment to fostering a culture of continuous improvement, leveraging feedback and lessons learned to enhance processes and practices. Regulatory Compliance Experience: Familiarity with industry-specific regulatory or business control requirements (e.g., SOC, NYDFS, ITGC, HIPAA) and experience in ensuring that enterprise technology solutions comply with these requirements. Culture and Engagement: Experience working in diverse, global teams, with an understanding of cultural differences and the ability to foster an inclusive, authentic environment that values diverse perspectives and builds a community of colleague engagement and satisfaction. We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out our website or flip through recruiting brochure. Follow us on social media to meet our colleagues and see what makes us tick: Instagram Facebook X LinkedIn Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-REMOTE The applicable base salary range for this role is $119,500 to $209,200. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: August 29, 2025

Position Summary: CCM's Consolidated Intermodal Technologies Group (CIT) is seeking a highly skilled and detail-oriented Data Pipeline Engineer to join our team. The Data Pipeline Engineer is a crucial role in the CIT organization. The position designs, builds, and maintains systems that process and transport data efficiently. Their primary responsibility is to ensure that data flows seamlessly from & to various sources to storage solutions, enabling stakeholders to access timely and accurate information. By managing the data lifecycle, Data Pipeline Engineers support business objectives by enhancing decision-making processes and improving operational efficiency. Key duties of a Data Pipeline Engineer include managing data operations, supporting cross-functional teams, and supporting areas such as data analytics. They are tasked with troubleshooting data issues, optimizing existing pipelines, and implementing new technologies to improve data processing capabilities. Their work not only ensures the integrity and availability of data but also drives the overall success of data-driven initiatives within the company. The role is responsible for the ingestion, transformation, loading and distribution of various types of data. This requires knowledge of API standards, EDI protocols, Data pipeline tools and experience using commercially available ETL tools for processing ANSI 301, 310, and 322 message sets. Candidates familiar with data integration to and from tracking systems, terminal operations systems, dispatch and drayage systems. This position is located on-site in Rockaway, NJ. Responsibilities: Develop and maintain scalable data pipelines to support data processing and transformation Collaborate with cross-functional teams to gather requirements and design and document data solutions Monitor and optimize existing data pipelines for performance and reliability Ensure data quality and integrity through rigorous testing and validation processes Implement and manage ETL processes to extract, transform, and load data from various sources Document data pipeline architecture, processes, and workflows for future reference Stay updated with the latest industry trends and technologies related to data engineering Requirements: Bachelor's degree in Computer Science, Information Technology, Business, or a related field (or equivalent work experience). 5+ years of experience working in the data pipeline field or in a similar role. Proven experience with EDI protocols (e.g., X12, EDIFACT) and integration tools. Strong knowledge of SQL and experience with relational databases. Proficient in programming languages such as PowerShell, Python, Java, or Scala. Experience with data pipeline tools (e.g., Cleo, Informatica, Talend, or Microsoft SSIS) and frameworks Excellent problem-solving skills and attention to detail. Ability to work independently and collaboratively in a team environment and communicate effectively Experience with version control, debugging, and data validation techniques. Strong analytical and problem-solving abilities Excellent communication skills, both written and verbal. Detail-oriented with a strong focus on data accuracy and process improvement. Benefits: Health Care, Dental, and Vision Insurance Life, Short Term & Long Term Disability Insurance 401(k) with Company Contribution Paid holidays and vacation Professional development and growth opportunities Collaborative and innovative work environment About CCM At Consolidated Chassis Management, LLC, our mission is to deliver unparalleled intermodal equipment and fleet management solutions. We are dedicated to optimizing chassis and fleet operations through innovative, reliable, and efficient services. By prioritizing customer satisfaction and operational excellence, we aim to enhance the logistics and transportation industry, driving value for our customers and stakeholders.

Position Summary Develop analytical platforms to transform data and drive the strategy and development of Machine Learning platform and features. Role and Responsibilities MULTIPLE POSITIONS AVAILABLE Company: SAMSUNG ELECTRONICS AMERICA, INC. Position Title: Staff Engineer I, Data Engineering Location: Mountain View, California Job ID: SAM9441214 Position Responsibilities: Develop analytical platforms to transform data and drive the strategy and development of Machine Learning platform and features. Create and deliver data features to shape critical business products in Samsung Ads that ultimately influences a major aspect of data platforms and ad servicing products. Analyze and process large sets of data, and create and manage data pipelines and products. Perform exploratory data analysis and data validation before ingestion using technical tools and software. Responsible for onboarding terabytes of data efficiently and within the desired SLA. Work closely with cross-functional teams such as product and marketing to understand their data needs and build data modeling features and products to drive the business forward. Contribute towards building a data system with a test-driven development and agile approach. Identify solutions to business issues using data analytical results and deliver products with top notch quality in a fast-paced environment. Collaborate with other team members in breaking down tasks and implementation of the data-oriented initiatives all the way to product release. Develop advanced solutions by leveraging deep expertise in System Design and Architecture, adeptly navigating and enhancing established Codebases, and utilizing cloud infrastructure services. Design and build robust, scalable Web Applications with a Microservices architecture, ensuring high performance and reliability. Position Requirements: Bachelor's degree in Computer Science, Computer Engineering, Information Technology or related field and 5 years of progressive, post-baccalaureate experience as a Staff Engineer I, Data Engineering or related occupation in data analytical and software development engineering. The 5 years of experience must have included: 1. Building data pipelines for onboarding data using Spark and Airflow; 2. Experience with microservices and Rest Api's, and Amazon AWS technologies including S3, EMR, Lambda; 3. Experience with database technologies, including MySQL, Oracle, NoSQL, Vertica; 4. Working on complex issues where analyzing situations, and data requires an in-depth evaluation of variables; 5. Experience with Airflow, Spark, Python, Java, AWS and CS fundamentals, Object Oriented design and development; and 6. Experience in core Machine Learning domains, including Computer Vision and Natural Language Processing. Hours: Full Time, 40 hours/week. Salary Range: $211,536/year to $283,000/year #LI-DNI Skills and Qualifications Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities. Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law. Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive. ESSENTIAL DUTIES & RESPONSIBILITIES Develops creative approaches to keep operational costs to a minimum, improve efficiency, and implement new strategies. Systems of responsibility include: Mechanical responsibilities will include chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Tests performance of electromechanical assemblies and electronic voltmeters. Reads blueprints, schematics, diagrams, or technical order to determine methods and sequences of processes. Inspects parts for surface defects. Installs electrical or electronic parts and hardware in housings or assemblies, using hand tools. Aligns, fits or assembles component parts, using hand or power tools. Operates, monitors, maintains, and responds to abnormal conditions in facilities systems. Areas include: Mechanical, Electrical, Fire Life Safety, and Building Monitoring and Control Analyzes systems to ensure best practices for both internal and external customers Provides feedback to DCO Engineering on the effectiveness of existing standards and processes Works with contractors and consultants to review quality assurance for all system expansions, corrections, and upgrades Works with the CF Ops Lead Technician to track and complete an aggressive preventive and predictive maintenance program Ensures data center operates at maximum operational efficiency, including analyzing existing operating conditions, recommending new technologies and improving overall efficiency, and cost reduction. Manages systems to avoid unplanned customer-impacting events Works with CF Ops Lead Technician to determine maintenance requirements for mechanical, electrical, and fire life safety systems. Performs other duties as assigned Regular, predictable attendance is essential to satisfactory performance. KNOWLEDGE, SKILLS & ABILITIES Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems Knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety Current knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations) Familiarity with data trending / tracking and analysis and the ability to utilize a PC based integrated critical monitoring systems Ability to process Hands and Eye requests as required i.e., Tape Rotation, Rack and Stack of equipment, inventory hardware, power cycle devices, patch cable install/removal Demonstrated hands-on experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including: Chilled Water Systems Large Centrifugal Chillers Cooling Towers Heat Exchangers Water Treatment Systems VFD's and Pumps HVAC equipment CRAC/CRAH's Humidification Systems Water heaters Water/Air filters BMS and PLC Controls Emergency Standby Diesel Generator Systems Fuel/Oil systems, 480/277 and 208/120 electrical generation and distribution Static UPS Systems Double Interlock Pre-Action Systems Excellent communication skills, both written and oral Proficient with MS Office Suite (Word, Excel, PowerPoint, Project) Ability to communicate effectively with customers and internal staff and effectively work in team environment Ability to coordinate, supervise, and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to learn quickly and address issues as they arise during normal working hours or after hours. Ability to operate in and promote a rigorous process-driven team environment Ability to logically analyze and solve problems Ability to effectively multi-task multiple projects Ability to operate Hand and Machine Tools (hammer, drill, saw, etc.) Ability to operate electrical tools such as a multi-meter or infrared camera Ability to operate a forklift Must be comfortable working in a high stress, fast paced environment with shifting priorities. Must be able to work on a shift which may require nights, holidays, and some weekends. Work Hours: 6:00 AM -6:00 PM Shift: Initial work schedule to be M-F. Once employee has completed training, they will be placed on a rotating day shift work schedule Possess critical thinking and complex problem-solving skills #GlobalDataCentersCareers #LI-JS1 L1 EDUCATION & EXPERIENCE High School Diploma required. Associate's Degree or equivalent education and/or work experience and a minimum of 2 years in a mechanical/electrical position within critical facilities (preferably a data center, hospital, semi-conductor, or power plant) required. CPR/First Aid and NFPA70E Certified during employment. Possession of an OSHA approved forklift certification or the ability to obtain one after hire required. PHYSICAL REQUIREMENTS Primarily walking, standing, and bending with some sitting. Ability to communicate effectively with verbal, visual and listening skills Close visual work on a computer terminal. Dexterity of hands and fingers to operate any required equipment as well as to operate computer keyboard, mouse, and other technical instruments. Able to lift and carry heavy equipment, up to 50 pounds. Ability to climb ladders and work on raised platform. WORK CONDITIONS Data Center environment with varying temperatures and loud noises. Potential extensive daily usage of workstation or computer. Must work on-site; no telecommuting permitted. SPECIAL REQUIREMENTS Must be willing to be part of the after-hours notification and escalation protocol. Must wear leather close-toed shoes with a solid rubber sole. This position requires work to be done onsite at a data center facility and may require use of a personal mobile device. A monthly stipend will be provided to cover expenses incurred for using a personal device, if applicable. NTT Global Data Centers Americas, Inc. offers competitive compensation based on experience, education, and location. Hourly base salary for this position is $27.80 - $41.60 and is eligible for overtime pay in accordance to local state and federal 'Wage and Hour' requirements. All regular full-time employees are eligible for an annual bonus; payout is dependent upon individual and company performance. Employees receive paid time-off, medical, dental, and vision benefits, life and supplemental insurance, short-term and long-term disability, flexible spending account, and 401k retirement plan to create a rich Total Rewards package. Your day at NTT DATA The Senior Critical Facilities Maintenance Technician has a substantial understanding of their role and applies their knowledge and skill to carry out their responsibilities relating to the operational integrity and regulatory compliance of the data center electrical, mechanical, and fire life safety systems. This role maintains and follows the processes that maximize customer uptime in the most cost-effective way. This role also ensures that data center problems are identified and repaired quickly, that contractors deliver quality services, and that internal customer demands are met. Key responsibilities: Develops creative approaches to keep operational costs to a minimum, improves efficiency, and implements new strategies. Systems of responsibility include - O Mechanical responsibilities includes chilled water systems and components, HVAC systems such as roof top units, CRAC/CRAH units, and humidification systems. O Electrical responsibilities will include electrical/critical power distribution from the Utility/Generator main switchgear through the UPS systems out to the customer load. O Fire Life Safety responsibilities will include wet sprinkler systems and pre-action sprinkler systems as well as their associated detection devices. Tests performance of electromechanical assemblies and electronic voltmeters. Reads blueprints, schematics, diagrams, or technical orders to determine methods and sequences of processes. Inspects parts for surface defects. Installs electrical or electronic parts and hardware in housings or assemblies, using hand tools. Aligns, fits or assembles component parts, using hand or power tools. Operates, monitors, maintains, and responds to abnormal conditions in facilities systems. Areas include - Mechanical, Electrical, Fire Life Safety, and Building Monitoring and Control. Analyses systems to ensure best practices for both internal and external customers. Provides feedback to relevant teams on the effectiveness of existing standards and processes. Works with contractors and consultants to review quality assurance for all system expansions, corrections, and upgrades. Works with relevant teams to track and complete an aggressive preventive and predictive maintenance programme. Ensures data centre operates at maximum operational efficiency, including analysing existing operating conditions, recommending new technologies and improving overall efficiency, and cost reduction. Manages systems to avoid unplanned customer-impacting events. Works with relevant teams to determine maintenance requirements for mechanical, electrical, and fire life safety systems. Performs other duties as assigned. To thrive in this role, you need to have: Understanding of the mechanical, electrical, and fire life safety systems used in a data centre environment including, but not limited to the following - electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems. Knowledge of NEC, NFPA 70E, NFPA 72, NFPA 25, and compliance issues as well as building codes in regard to fire life safety. Current knowledge in industrial safety best practices (i.e. lockout/tag out, arc flash protection, OSHA and state regulations). Familiarity with data trending / tracking and analysis and the ability to utilize a PC based integrated critical monitoring systems. Ability to process Hands and Eye requests as required i.e., Tape Rotation, Rack and Stack of equipment, inventory hardware, power cycle devices, patch cable install/removal. Demonstrated hands-on experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including - O Chilled Water Systems O Large Centrifugal Chillers O Cooling Towers O Heat Exchangers O Water Treatment Systems O VFD's and Pumps O HVAC equipment O CRAC/CRAH's O Humidification Systems O Water heaters O Water/Air filters O BMS and PLC Controls O Emergency Standby Diesel Generator Systems O Fuel/Oil systems, O 480/277 and 208/120 electrical generation and distribution O Static UPS Systems O Double Interlock Pre-Action Systems Proficient with MS Office Suite (Word, Excel, PowerPoint, Project). Ability to communicate effectively with customers and internal staff and effectively work in team environment. Ability to coordinate, supervise, and communicate with contractors who perform maintenance or upgrade work on these systems. Ability to logically analyze and solve problems. Ability to operate Hand and Machine Tools (hammer, drill, saw, etc.). Ability to operate electrical tools such as a multi-meter or infrared camera. Ability to operate a forklift. Must be comfortable working in a high stress, fast paced environment with shifting priorities. Possess critical thinking and complex problem-solving skills. Academic qualifications and certifications: Relevant high school diploma or equivalent required Relevant advanced qualification or equivalent work related experience required Relevant certifications such as: O CPR/First Aid and NFPA70E Certified (can be gained during course of employment) O Possession of an OSHA approved forklift certification or the ability to obtain one after hire required Required experience: Relevant demonstrated experience in a similar role gained within a data centre facilities environment. Relevant demonstrated experience in a mechanical/electrical position within critical facilities (preferably a data center, hospital, semi-conductor, or power plant). Demonstrated hands-on experience installing, maintaining, and/or troubleshooting large commercial and industrial systems including - O Chilled Water Systems O Large Centrifugal Chillers O Cooling Towers O Heat Exchangers O Water Treatment Systems O VFD's and Pumps O HVAC equipment O CRAC/CRAH's O Humidification Systems O Water heaters O Water/Air filters O BMS and PLC Controls O Emergency Standby Diesel Generator Systems O Fuel/Oil systems, O 480/277 and 208/120 electrical generation and distribution O Static UPS Systems O Double Interlock Pre-Action Systems Workplace type: On-site Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Who we are: Ambient.ai is a unified, AI-powered physical security platform helping the world's leading enterprises reduce risk, improve operational efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies, along with multiple Fortune 500 organizations, rely on Ambient.ai to modernize their physical security infrastructure. Our platform uses advanced AI and computer vision to seamlessly integrate with existing camera and sensor systems, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they occur. Founded in 2017 and backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures, Ambient.ai is a Series B company on a mission to make every security incident preventable. We've found that in-person time meaningfully supports collaboration, creativity, and team alignment. Our engineering, product, design, and marketing teams work from our Redwood City office 3 days per week. All other Bay Area employees join on Fridays to stay connected and close out the week together. Ready to learn more? Connect with us on LinkedIn and YouTube About the role: Reporting to Raghu Nallamothu, this Staff Data Platform Engineer role is a unique opportunity to establish the foundational direction and strategy for the data platform team. As the founding member, you will take the lead in designing, building, and scaling data storage and caching systems to petabyte-level capacity, setting the standard for reliability, availability, and performance in support of mission-critical applications. Additionally, you'll have a pivotal role in pioneering retrieval-augmented generation systems, setting a precedent for cutting-edge data-driven capabilities at Ambient.ai. What you'll do: You will lead the design, development, and scaling of our data storage and caching systems to petabyte scale while also spearheading the development of advanced retrieval augmented generation systems. Develop highly efficient caching systems that obliterate latency, ensuring lightning-fast data access. Tackle data infrastructure challenges head-on, swiftly troubleshooting and resolving issues to minimize downtime. Lead groundbreaking efforts in the retrieval of augmented generation systems, pushing the boundaries of what's possible. What you'll bring: Foundational Engineering Leadership: Significant experience in software engineering with a specialization in architecting, optimizing, and scaling data infrastructure, ideally as a founding or principal engineer. Visionary Data Store Architecting: Proven track record of architecting and scaling data stores to accommodate petabyte-level data volumes, with a clear vision for long-term data infrastructure strategy. Advanced Caching System Design: In-depth experience in designing high-efficiency caching systems to eliminate latency, enabling near-instantaneous data access across applications. Database & Infrastructure Mastery: Hands-on expertise in scaling, managing, and fine-tuning complex database systems, including MySQL, PostgreSQL, Redis, and OpenSearch, to meet enterprise-level demands. Programming & Software Development Excellence: Strong programming skills, particularly in Python and C++, with expertise in applying software development best practices to ensure robust, maintainable code. Distributed Data Processing Frameworks: Familiarity with distributed data processing frameworks, and a comprehensive understanding of various database management systems to guide strategic technology decisions. Retrieval-Augmented Generation Systems Expertise: A solid background in retrieval-augmented generation systems and their application within data workflows, with the ability to leverage this technology for innovation. Salary and Equity: At Ambient.ai, we take a market-based approach to compensation. Final offers are based on job-related skills, experience, location, and internal equity. Base salary is just one part of our total rewards package, including stock options and the opportunity to share in the company's growth. The starting base salary range for this role in Redwood City: $188,000 - $230,000 Why join us: We are creating an entirely new category within a 180+ billion-dollar physical security industry and looking for team members who are also passionate about our mission to prevent every security incident possible We partner with an incredible customer roster of F500 companies, including Adobe, TikTok, Gap and SentinelOne Regular Full-time employees receive stock options for the opportunity to share ownership in the success of our company Comprehensive health + welfare package (Medical, Dental, Vision, Life, EAP, Legal Services, 401k plan) We offer flexible time off to rest and recharge, including Winter Break (time off between Christmas and New Year's for most roles, depending on customer demand) The latest tech and awesome swag will be delivered to your door Enjoy a full range of opportunities to connect with your awesome co-workers We love to hike, are foodies, and love music! Check out our most recent Ambient Spotify Playlist #LI-Hybrid Ambient.ai is proud to be an Equal Opportunity Employer. Ambient does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. Ambient is an E-Verify participant.

GENERAL DESCRIPTION OF POSITION The Sr Commercial Real Estate (CRE) Data Analyst will analyze credit and economic data to estimate the degree of risk and trends involved in various commercial real estate property types. ESSENTIAL DUTIES AND RESPONSIBILITIES Manage and monitor the loan portfolio data from an overall analytical perspective. This duty is performed daily, about 30% of the time. Ensure reasonableness (quality control) of existing data collected for loans. Determine if, when and how additional data needs to be collected. This duty is performed monthly, about 30% of the time. Develop, prepare and analyze loan concentration reports by type of loan, collateral, geography and industry. This duty is performed monthly, about 10% of the time. Analyze historic and predictive CRE portfolio performance by segments in different economic cycles and geographic locations. This duty is performed quarterly, about 10% of the time. Coordinate with DFAST team on data integrity and stress testing scenarios. This duty is performed as needed, about 5% of the time. Assist Deputy Chief Credit Officer with analysis and narratives of economic conditions and statistics useful in analyzing loan portfolio risk exposures. This duty is performed as needed, about 10% of the time. Assist Deputy Chief Credit Officer with economic and loan data analysis for preparation of the quarterly allowance for loan loss adequacy report. This duty is performed quarterly, about 5% of the time. Coordinate CoStar and Moody's REIS data analytics research for management. Provide supervision and oversight to maintain quality control of overall CRE data analyst function. The ability to work in a constant state of alertness and in a safe manner. Completes required BSA/AML training and other compliance training as assigned. Perform any other related duties as required or assigned. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty mentioned satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. EDUCATION AND EXPERIENCE Broad knowledge of such fields as accounting, marketing, business administration, finance, etc. Equivalent to a four year college degree, plus 5 years related experience and/or training, and 1 to 6 months related management experience, or equivalent combination of education and experience. COMMUNICATION SKILLS Ability to write reports, business correspondence, and policy/procedure manuals; ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Ability to read, analyze, and understand common scientific and technical journals, financial reports, and legal documents; ability to respond to complex or difficult inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conform to prescribed style and format; ability to effectively present information to top management, public groups, and/or boards of directors. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane, algebra, solid geometry and trigonometry. CRITICAL THINKING SKILLS Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal, logical or scientific symbolism such as formulas, scientific equations, and graphs. Ability to deal with a variety of abstract and concrete variables. REQUIRED CERTIFICATES, LICENSES, REGISTRATIONS Not indicated. PREFERRED CERTIFICATES, LICENSES, REGISTRATIONS Not indicated. SOFTWARE SKILLS REQUIRED Advanced: 10-Key, Accounting, Other, Presentation/PowerPoint, Spreadsheet, Word Processing/Typing Intermediate: Database RESPONSIBILITY FOR WORK OF OTHERS Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities may include but not limited to interviewing, hiring and training employees; planning, assigning and directing work; appraising performance, rewarding and disciplining employees; addressing complaints and resolving problems. Supervises a small group (1-3) of employees in the same or lower classification. Assigns and checks work; assists and instructs as required, but performs same work as those supervised, or closely related work, most of the time. Content of the work supervised is of a non-technical nature and does not vary in complexity to any great degree. WORKING CONDITIONS Normal working conditions as found within an office setting, wherein there is controlled temperature and a low noise level, plus a minimum of distractions. ENVIRONMENTAL CONDITIONS The following work environment characteristics described here are representative of those an employee encounters while performing essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. PHYSICAL ACTIVITIES The following physical activities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions and expectations. Semi-repetitive, low physical. Semi-repetitive type work which requires periods of concentration for varied time cycles as prescribed by the tasks. While performing the functions of this job, the employee is continuously required to sit; frequently required to talk or hear; and occasionally required to walk, use hands to finger, handle, or feel. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision; and color vision. ADDITIONAL INFORMATION Degree in business, finance, accounting, or economics, Minimum of 5+ years related experience and/or training in credit analysis, underwriting, or lending experience in commercial real estate with demonstrated knowledge of principals of accounting, finance, and economics. One to six months related management experience or equivalent of education and experience Previous experience working with Commercial Real Estate lending, Credit analysis and portfolio management experience along with knowledge of various CRE property types, and strong analytical skills is desired. Technological aptitude would be beneficial Analytically minded and possess good judgment. Proficient in Microsoft Word, Power Point with advanced knowledge of Excel charts, graphs and pivot tables. Knowledge/experience in Tableau and Power BI is preferred. Advanced power user of Moody's REIS and CoStar CRE database property platforms. Ability to provide underwriting property data support to lending staff. Ability to write in-depth CRE property type reports, business correspondence, and policy/procedure manuals Ability to effectively present information to various board committees and respond to questions from groups of executive management, regional managers, bank directors and bank regulators

Great company. Great people. Great opportunities. If you'd like the chance to make your mark with the world's largest equipment rental provider, come build your future with United Rentals! United Rentals is seeking an experienced and strategic Enterprise Data Architect to lead the development and evolution of our enterprise reporting and analytics data architecture. As the most senior technical individual contributor on the Business Intelligence team, this role is responsible for designing scalable, secure, and reliable systems that empower enterprise-wide decision-making. This architect will influence platform strategy, collaborate cross-functionally with engineers and business leaders, and set best practices for the Snowflake-based data ecosystem. The Enterprise Data Architect is responsible for leading the strategic direction and technical architecture of United Rentals' Snowflake platform and enterprise reporting systems. This role ensures that data solutions are scalable, secure, and aligned with evolving business objectives. The architect will design and optimize data models to support a range of use cases, including operational reporting, business intelligence, and advanced analytics. This position plays a key leadership role in integrating diverse data sources into the Snowflake platform and supporting the development of a unified enterprise data warehouse. The Enterprise Data Architect will work closely with data scientists, EDW developers, business analysts, and IT leaders to ensure consistent, high-quality, and governed access to critical business data. What you'll do: Develop and maintain a long-term data architecture roadmap aligned with business needs and technical strategy. Design data movement, replication, access, and decommissioning strategies for legacy systems. Define and oversee robust backup, archival, and disaster recovery strategies for the Snowflake platform, including the enterprise data warehouse. Provide architectural guidance and technical leadership across Snowflake, data warehousing, and business intelligence initiatives. Ensure data quality, security, performance, and availability across the enterprise Snowflake platform. Develop and enforce data access, integration, and replication standards. Optimize performance and cost of Snowflake workloads, including compute resource allocation. Establish best practices for metadata management, data cataloging, and lineage. Lead architectural review sessions and influence design decisions across analytics and reporting teams. Collaborate with senior business and IT stakeholders to align data strategies with enterprise objectives. Facilitate problem-solving and technical communication within the data team and across stakeholders. Act as a key point of contact between the architecture function and other technical/business units. Requirements: Bachelor's degree in Computer Science, Information Systems, Computer Engineering, or related field required. 10+ years of experience in data architecture roles, including at least 5 years in technical leadership positions on enterprise-scale projects. Extensive, hands-on experience with Snowflake architecture, including implementation and ongoing operations of Snowflake-centric solutions. Proficiency in cloud platforms such as Snowflake, AWS, or Azure, with a focus on secure, scalable, and cost-effective design. Expertise in ETL/ELT pipelines (e.g., dbt, Fivetran, Informatica) and real-time data processing strategies. Strong understanding of data security, access control, and compliance frameworks including GDPR and SOC 2 Type 2. Familiarity with business intelligence tools such as Tableau and Power BI, and integration into enterprise reporting platforms. Proven ability to translate complex business requirements into data architecture and design strategies. Demonstrated ability to lead technical initiatives, influence architecture across teams, and communicate with executive stakeholders. Comfortable working independently in a senior-level individual contributor role while also mentoring others. Familiarity with agile development practices and cross-functional team collaboration. Why join us? We don't just "talk the talk!" We're an award-winning company (recently named a Glassdoor Best Place to Work in 2023) that truly cares about our people - That's why we offer best-in-class benefits and perks that will support you and your family. In addition to our health and financial plans, we also offer: Paid Parental Leave United Compassion Fund Employee Discount Program Career Development & Promotional Opportunities Additional Vacation Buy Up Program (US Only) Early Wage Access through Payactiv (US Hourly Only) Paid Sick Leave An inclusive and welcoming culture Learn more about our full US benefit offerings here. United Rentals, Inc. is an Equal Opportunity Employer and makes employment decisions regardless of race, color, religion, sex, national origin, age, genetic information, citizenship status, veteran status, sexual orientation, gender identity, disability, or any other status protected by law. If you need a reasonable accommodation at any point of the application process, please email careers@ur.com for assistance. At United Rentals, we proudly hire active duty members, veterans, reservists, and their families. The values that define your service-leadership, discipline, integrity, and teamwork-are the same values that drive our success. With many veterans already part of our team, we're ready to help you transition into a rewarding career. United Rentals consists of a wide variety of roles with different duties and responsibilities. The actual pay rate offered to candidates varies depending upon a wide range of factors including specific position, location, education, training, experience, skills, and ability.

We are seeking a talented individual to join our Government Healthcare Consulting (GHSC) team at Mercer. The Government Healthcare Data Manager will serve as a data team leader, working directly with actuarial, financial and data analysts, clinicians and health policy consultants, on large, complex projects. We will count on you to: Act as a project lead and partner with the client to define and manage the scope of the project, serve as an expert on data methodologies, and ensure consistency with industry standards Oversee all data strategy and processing activities and provide on-going review and guidance throughout the process. Inform client and project teams on the reasons and impacts of data anomalies, exceptions on the analysis, and formulate solutions Utilize SAS programming software to interpret, validate and analyze large health care data sets Collaborate with client and project teams to finalize methodologies and educate clients on the impact of their policies on the data Work with Mercer actuaries, clinicians, and health policy consultants using data to support the design and implementation of innovative and comprehensive solutions to emerging and/or unique challenges faced by clients Work with project leaders to identify growth and development opportunities for junior data analysts on project teams. Provide guidance, oversight and mentoring to junior data staff as needed What you need to have: BA/BS or equivalent experience required 10+ years of healthcare claims data, project management experience required 3+ years' experience leading teams Experience overseeing project teams and working in a client-facing capacity Experience using SAS, SQL or equivalent programming language What makes you stand out? Experience working with Medicaid claims data Experience managing large complex projects (preferably in a Consulting setting Excellent interpersonal skills; strong oral and written communication skills Ability to prioritize and handle multiple tasks in a demanding work environment Strong critical thinking and analytical problem-solving skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leadership We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Mercer, a business of Marsh McLennan (NYSE: MMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person. The applicable base salary range for this role is $115,200 to $230,400. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.