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As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Data Engineer Locations : Boston, MA | Hybrid Get To Know Us: SS&C is a global provider of investment and financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services. SS&C Advent's financial solutions are going cloud, and we're growing the team to get us there. Our best-of-breed products that span the investment firm's front-to-back office will be part of the journey to digital transformation, which started with our cloud-native, award-winning Genesis application used by portfolio managers around the globe. Now our mission and team are expanding, and we are looking for motivated people who want to be part of an exciting growth opportunity in the fintech industry. Why You Will Love It Here! Flexibility : Hybrid Work Model and Business Casual Dress Code, including jeans Your Future: 401k Matching Program, Professional Development Reimbursement Work/Life Balance: Flexible Personal/Vacation Time Off, Sick Leave, Paid Holidays Your Wellbeing: Medical, Dental, Vision, Employee Assistance Program, Parental Leave Wide Ranging Perspectives: Committed to Celebrating the Variety of Backgrounds, Talents and Experiences of Our Employees Training: Hands-On, Team-Customized, including SS&C University Extra Perks: Discounts on fitness clubs, travel and more! What You Will Get To Do: Join a team that creates a leading cloud platform with the latest big data, cloud-native and machine learning technologies Build and implement models in a production environment for a revenue-driving product. Create and maintain overall optimal data infrastructure. Assemble large, complex data sets that meet functional / non-functional business requirements. Manage data migrations/conversions and troubleshoot data processing issues. Create the pipeline for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Build machine learning functions to help with data automation and data preparation. Work closely with our product team and data warehouse engineers to build analytics tools and dashboards that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with other data experts to strive for greater functionality in our data systems. Discover more innovative machine-learning solutions that can drive business values. What You Will Bring: Passionate about big data and building a platform. Proficient coding skills and strong algorithm & data structure basis. Knowledge of one or multiple of the tools: Hadoop, Spark, Presto, Hive, Kafka, or Airflow. Skills in transforming data, developing data structures, building a metadata store, and setting up data pipelines or data workflows. Experience in getting data through API with Python or other programming languages such as JavaScript, Java, C#, Scala, etc Strong problem-solving skills with a can-do attitude. Great software engineering best practices with git and version control systems. Solid communication skills to explain complex data pipelines to both technical and non-technical people. Excellent writing and documenting skills. Self-starter and self-motivated. Bachelor’s Degree in Computer Science, Information Systems or other STEM field 3+ years of experience in data engineering or a related field required Bonus if you have: Machine learning academic or working experiences. Kubernetes or docker knowledge. Experience with AWS Glue, Azure Data Factory, or Data Bricks. Thank you for your interest in SS&C! If applicable, to further explore this opportunity, please apply directly with us through our Careers page on our corporate website: www.ssctech.com/careers . #LI-MB3 #CA-MB Salary range for the position: 110000 USD to 150000 USD. Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C offers excellent benefits including health, dental, 401k plan, tuition and professional development reimbursement plan. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

Job Title: Data Analyst Manager Location: San Francisco Bay Area, Atlanta, GA, New York, NY, or Remote Employment Type: Full-time, Salaried Reports to: VP, Data & Analytics Who We Are Impiricus is at the forefront of transforming the pharmaceutical industry. Our mission is to innovate the way pharmaceutical companies connect with physicians, enhancing the communication channels that are critical for the advancement of healthcare. With a team dedicated to pushing the boundaries of digital solutions, we aim to improve patient outcomes by fostering more effective, data-driven interactions between healthcare professionals and drug manufacturers. Join us in our journey to revolutionize healthcare communication and make a lasting impact on the industry. Job Summary: As a Data Analyst Manager on the Data & Analytics team at Impiricus, you will lead and elevate analytical work across commercial operations. You’ll manage and mentor a small team of analysts while also owning high-impact analyses yourself—setting the bar for rigor, narrative clarity, and visual storytelling. This role requires a strong mix of quantitative skill, strategic thinking, process management, and polished communication to drive insights for internal stakeholders and pharmaceutical clients. Duties/Responsibilities: Team Leadership & Analytical Quality Lead and coach Data Analysts, ensuring high analytical rigor, quality control, and polished narrative output. Set standards for methodologies, visualization practices, and client-ready storytelling. Personally execute complex analyses, modeling best-in-class analytical and communication skills. Campaign Execution and Commercial Insights Lead deep-dive performance analyses, uncovering trends, drivers, and actionable opportunities. Build clear, compelling visual stories tailored to audience needs across Client Services, Sales, and external clients. Develop frameworks, dashboards, and repeatable performance reporting to support ongoing campaign optimization. Business Development Strategy and Support Synthesize performance across brands and therapeutic areas to guide strategic decisions. Support business development with data-backed opportunity assessments and insights from internal and external sources. Manage the delivery of crisp, confident presentations and insight summaries for senior stakeholders. Target List Strategy & Data Operations Oversee the creation, validation, and refinement of HCP target lists. Ensure consistency, accuracy, and scalability in targeting processes, coaching analysts on best practices. Maintain high standards of data hygiene and operational excellence. Cross-Functional Communication Serve as a key analytical partner to Client Services, Sales, Product, and Operations. Communicate progress, findings, and recommendations with clarity and confidence. Reliably represent the D&A team in cross-functional discussions and client meetings independently. Experience: Technical Skills Excel / Google Sheets: expert-level proficiency, including advanced formulas, modeling, and structured analytical workflows. Presentation software (PowerPoint, Google Slides): expert-level, with a track record of polished, client-ready decks. Experience with visualization and analytics platforms (Tableau, Power BI, Sigma, etc.). High proficiency or strong familiarity with SQL and Python for data manipulation and analysis. Professional Experience 3–5+ years in quantitative or analytics-focused roles; healthcare or pharma experience preferred. Demonstrated leadership and mentorship of analysts or small teams. Proven ability to independently manage complex analytical projects from scoping to delivery. Exceptional written and verbal communication skills with the ability to distill complex data into clear, persuasive insights. Strong attention to detail, organization, and multi-project management. The base salary range for this role is $120,000 - $140,000. Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth. Benefits: Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being. Healthcare : Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA : Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection : 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off : Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave : 12 weeks of paid leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way : If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup : We’ll ship you the gear you need to create a comfortable workspace at home. 401(k) : Save for your future with tax advantages (and company match!) Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Description Summary: Huntington Bank is looking for an ELT Developer Lead in our Enterprise Data Warehouse. In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank. As an IT Tech Specialist, you will develop, maintain, and enhance code ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. Key technologies include Python, Snowflake, AWS and Datastage. If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you. Duties and Responsibilities: Translate requirements and data mapping documents to a technical design. Develop, enhance and maintain code following best practices and standards. Create and execute unit test plans. Support regression and system testing efforts. Debug and problem solve issues found during testing and/or production. Communicate status, issues and blockers with project team. Support continuous improvement by identifying and solving opportunities. Basic Qualifications: Bachelor’s degree At least 5 years of experience in ETL development within Data Warehouse. At least 4 years of experience with Python. At least 3 years of cloud experience with Snowflake. At least 5 years of experience writing SQL queries. Preferred Qualifications: Deep understanding of enterprise data warehousing best practices and standards. Good communication and interpersonal skills. Good organization skills and the ability to work independently as well as with a team. Experience leading teams of developers within a project. Experience in financial services (banking) industry. Experience with Datastage ETL development. Experience with data warehousing cloud technologies. Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Cybersecurity and Data AnalyticsJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: Join a dynamic cybersecurity and data analytics team responsible for building and maintaining mission-critical data pipelines. • Lead efforts to integrate vulnerability, event, and log data across ACAS, Elastic, and Splunk platforms. • Support large-scale data environments that power real-time insights and automated security analytics. • Collaborate with cross-functional teams to optimize data ingestion, storage, and visualization for operational efficiency. • Contribute to data governance, standardization, and automation initiatives to strengthen organizational cybersecurity posture. Responsibilities: • Design, develop, and maintain ETL/ELT pipelines for ingesting and transforming data pipelines into ACAS, Elastic, and Splunk deployments within a cloud environment. • Integrate diverse data sources (network sensors, security tools, and log aggregators) into centralized analytics environments. • Manage data workflows, ensuring accuracy, consistency, and compliance with data management policies. • Implement data quality checks, normalization, and enrichment processes to enhance analytical outcomes. • Collaborate with cybersecurity teams to translate analytical requirements into scalable data solutions. • Optimize data ingestion performance and automate recurring data management tasks using scripting or orchestration tools. • Monitor, troubleshoot, and resolve data pipeline and integration issues across platforms. • Maintain data schemas, metadata, and documentation for cross-team visibility. • Ensure compliance with data security and privacy standards in all engineering processes. Qualifications: • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. • 3+ years of experience in data engineering, integration, or ETL pipeline development. • Proven experience with ACAS (Tenable/Nessus), Elastic Stack (Elasticsearch, Logstash, Kibana), and Splunk. • Strong proficiency in Python, PowerShell, or Bash for data manipulation and automation. • Hands-on experience with APIs, data connectors, and log ingestion frameworks. • Familiarity with SQL and NoSQL databases. • Experience working in secure, enterprise, or government network environments. • Strong understanding of data security, access control, and encryption principles. • Excellent analytical, troubleshooting, and communication skills. • Must be located in San Antonio, TX or willing to relocate. Desired: • Experience with cloud data integration (AWS, Azure, or GCP). • Knowledge of cybersecurity frameworks and vulnerability management processes. • Experience with data orchestration and visualization tools. • Relevant certifications (e.g., Splunk Certified Architect, Elastic Certified Engineer, or Tenable ACAS certification). - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $85,800 - $180,200 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Build a safer world with us, one incident at a time. 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. 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. 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.

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Company: Siemens Medical Solutions USA, Inc. Location: 221 Gregson Dr, Cary, NC 27511 Position Title: Data Scientist 1 Salary: $ 93,738 - $113,200 / year Hours: Monday – Friday, 9:00 am to 5pm Summary of Duties: Automate and create visualizations of key business metrics. Write production code to produce data infrastructure and automation of tasks. Ongoing development of ad-hoc and production level analytics, providing insights from data. Provide compelling, engaging and persuasive fact-based arguments. Set clear priorities to optimally complete work tasks and allocate resources efficiently. Communicate and consult with partners at all levels within the organization. Work in an agile framework and communicate progress as necessary. Hybrid work permitted. Must report to the Company’s office in Cary, NC 2 days/wk. Qualifications: The position requires a Bachelor’s degree or foreign equivalent in Computer Science, Analytics, Data Science, Mathematics, Statistics, Operations Research or a related field and three (3) years of experience in the job offered or an acceptable alternate occupation. Will alternately accept a Master’s degree or foreign in Computer Science, Analytics, Data Science, Mathematics, Statistics, Operations Research or a related field and one (1) year of experience in the job offered or an acceptable alternate occupation. The position requires experience in the following: Experience in data analytics applied to medical devices using programming languages like SQL, Python, R, and SAS; Experience creating data visualizations and insights for production or research use to monitor medical device repair time, healthcare survey drop-out rate or ballistocardiogram (BCG) signal; Experience in data pipeline scheduling tools like airflow, dbt, or SAS data integration studio to automate ETL pipeline for predicting medical service engineer's workload; Experience with version control and file sharing platforms like Azure DevOps or Github; Experience building dashboard using Qlikcloud or Tableau to explore attributes correlating with medical service engineer workload, or population participating healthcare survey. Who we are : We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here . Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here . Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here . If you’re unable to complete the form, you can reach out to our HR People Connect Peop le Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here . Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.” Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

SGP Recruiting provides both operations and strategic support to Tribal 8(a) and commercial organizations. Our client is a CVE-verified Veteran-Owned Small Business (VOSB) and a proud ISO 9001:2015 certified organization specializing in systems integration and enterprise management solutions. As a trusted GSA MAS contract holder, they deliver mission-critical telecommunications, network infrastructure, and IT services to Federal, State, and Local Government agencies, the U.S. Military, and private-sector clients. They are seeking a motivated, career and customer-oriented Data Analyst in Doral, FL. Possible other locations for this position: Key West, Newport (FL), and Naval Station Guantánamo Bay (NSGB). Join a team dedicated to Meeting today’s mission demands requires more than just technology — it requires the right people, the right expertise, and the right partners working together with precision and purpose. Propel your career forward and be part of something extraordinary. Salary Range - $75 - 85K Annually. Employment - Full time Worksite Type - Onsite Security Clearance Required – Secret Responsibilities include but are not limited to: · Contribute to data-driven decision-making by providing valuable insights to stakeholders across the organization. · Responsible for conducting data analysis, developing reports and visualizations, and supporting the development of business intelligence capabilities. · Create and maintain reports, dashboards, and visualizations using BI tools (eg, Tableau, Power BI) to effectively communicate data findings. Extract, clean, and transform data from various sources using SQL and other data manipulation tools. · Assist in the development and maintenance of business intelligence solutions, including data models, ETL processes, and reports. · Work with business stakeholders to understand their data needs and provide relevant data analysis and reporting. · Contribute to data quality initiatives by identifying and resolving data issues. Maintain clear and concise documentation of data analysis projects and processes. · Stay abreast of industry best practices and new data analysis techniques and tools Minimum Qualifications: · Bachelor’s degree in relevant field and a minimum of 4 years of experience or a master’s degree and 2 years of experience OR PhD and 0 years of experience is required. A High School diploma and 4 years of additional experience or associate degree and 2 years of additional experience may be exchanged in lieu of a required bachelor’s degree. · Solid SQL skills, including the ability to write queries and perform data manipulation. · Experience with at least one BI visualization tool (e.g., Tableau, Power BI, Qlik Sense). · Understanding of data warehousing concepts and dimensional modeling. Preferred Qualifications: · 4 years of experience in an agile-informed development environment. More than 3 years of experience in a data analyst role, with a focus on business intelligence and analytics. · PhD, Master’s OR bachelor’s degree in information technology, Computer Science, Information Systems, Statistics, or a related field. CompTIA Data+, Microsoft Certified Data Analyst–Associate, and Associate Certified Analytics Professional (aCAP). Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) Our client provides a variety of benefits including company-paid health, dental & vision insurance coverage, as well as additional employee-paid health insurance options; company-paid life and disability insurance; 401k retirement savings plan with employer match; 10 company paid holidays per year, and paid time off. Our client also considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Data Analyst – Edison, NJ and unanticipated sites throughout US Description: Provide weekly, monthly, and annual reports for supply chain, trial balance and balance sheet. Use Machine Learning in Python code within Power Platform to bring cross-sell analytics and customer Insights. Build canvas web apps using functional and logical expression in power apps. Create custom connectors using API. Prepare and deliver visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement. Provide special reports and analyses to support the business as necessary using Power BI. Support efforts to maintain accurate master data by curating the same using Power Query, SQL. Identify issues, analyze available data and information, and recommend changes to management. Create and maintain multiple operational reporting tools. Consolidate data reports and deliverables to help drive data-based strategic decision making. Provide analysis prior to and following any recommended changes. Ensure accuracy of data through partnerships with team members. Work cross-functionally with teams to drive data and report improvements. Requirements: Master’s Computer Science, Information Technology, or Engineering Science. No experience required. Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains: What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general .

Position Overview We are hiring a Fiber & Copper Data Center Technician to oversee the quality control of cable labeling and organization within our data center environments. This role is critical to ensuring that all fiber (including MPO-8 breakouts) and Cat6 copper cabling is labeled, bundled, and staged according to strict standards. The ideal candidate must have a strong eye for detail, technical knowledge of fiber and copper infrastructure, and the ability to communicate clearly with technicians, leads, and project managers. Responsibilities Inspect fiber and Cat6 cables to ensure correct labeling format, placement, and durability. Verify that MPO breakout labels match the documented patch schedules and polarity configurations. Confirm copper cabling (Cat6) terminations are labeled and installed per floor plans and port maps. Ensure that cables are bundled neatly, consistently, and in compliance with bend-radius and pathway guidelines. Check routing paths for proper separation of fiber and copper, use of Velcro (no over-tightening), and logical grouping by destination or rack. Complete QA/QC checklists, noting all discrepancies and corrective actions required. Take clear photos of non-compliant work and provide before/after records when issues are corrected. Maintain logs of inspected zones, bundle groups, and cable types for handoff to project stakeholders. Work directly with cabling technicians and leads to provide immediate feedback on issues. Escalate repeated errors, labeling inconsistencies, or deviations from project documentation. Participate in team huddles or walk-throughs to explain QC expectations and results. Requirements: 1+ years experience in a structured cabling, low-voltage QA/QC, or data center infrastructure environment. OSHA 10/30 certification Strong knowledge of fiber cabling (especially MPO breakout types) and Cat6 standards. Familiarity with ANSI/TIA-568 labeling practices and project-specific labeling conventions. Excellent verbal and written communication skills – must be able to clearly document issues and collaborate with field teams. High attention to detail and a commitment to documentation accuracy. Able to read and interpret rack elevations, patch schedules, and cable matrices. Ability to lift and carry boxes up to 40lbs. Preferred Qualifications: BICSI certification or formal low-voltage QA/QC training. Experience in hyperscale or enterprise-level data center deployments. Proficiency with mobile documentation tools (Google Sheets, Microsoft Excel, PlanGrid, etc.). This position is essential for maintaining the high-quality standards our company is known for, ensuring customer satisfaction through exceptional product reliability. Job Type: Full-time, Temporary Pay: $20.00 - $30.00 per hour Expected hours: 30 – 60 per week Schedule: 10 hour shift Monday to Friday Overtime Weekends as needed Shift availability: Day Shift (Required) Night Shift (Required) Ability to Commute: Memphis, TN 38109 (Required) Ability to Relocate: Memphis, TN 38109: Relocate before starting work (Required) Work Location: In person PM25

About the Team We are looking for a Director of Data Engineering and Agentic AI Automation to lead the next generation of our finance data infrastructure. As OpenAI expands its Finance operations, we need scalable and trustworthy data systems to match the pace and complexity of our growth. This includes well-modeled, auditable data for revenue recognition, financial reporting, and planning, supported by reliable pipelines that connect ERP, planning, and operational systems. You will lead a group of analytics engineers, data engineers, and AI engineers to build the data pipelines that connect our internal engineering systems with enterprise platforms such as Oracle Fusion ERP. This role will also define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making across Finance. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation. Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems. Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes. Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday. Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance. Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency. Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams. Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains. Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes. Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities. Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation. Own and maintain Tier-1 data pipelines with strict SLA, data quality, and compliance standards. Drive the long-term roadmap for agentic AI enablement to build the foundation for “Finance on OpenAI.” You might thrive in this role if you have: 12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS) Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C Experience integrating with contract manufacturers and external logistics providers is a strong plus Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role We’re looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering Lightfield's AI-driven CRM. At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI and data systems. You’ll play a critical role in designing and building the data models and infrastructure that support a next-generation CRM, ensuring our system is performant, scalable, and resilient. What you’ll do Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance. Architect and scale the data infrastructure and backend services that power Lightfield AI-driven CRM. Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights. Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement. Mentor teammates, participate in code reviews, and help shape engineering culture and practices. Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing. Who you are 3+ years of experience in software development, with a strong background in infrastructure, data modeling, and backend systems. Deep experience building scalable, high-performance data infrastructure that can support complex customer workflows and large-scale data processing. Strong understanding of database design, indexing strategies, and query optimization, especially in PostgreSQL or similar relational databases. You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them. You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL. Strong fundamentals in software engineering, with a degree in Computer Science or a related field. Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment. Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders. Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable. Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend

SWBC is currently seeking an experienced Enterprise Data Architect to join our internal team at our SC3 location. Why you’ll love this role This role offers a unique opportunity to dictate and direct future data direction, set the standard for database design and data governance and use your skills to help grow our team in data knowledge. You’ll work with great people with a variety of skills to help them and the business achieve great results. Essential duties include the following: Develops and maintains enterprise data architecture aligned with business and technology strategies. Designs and implements AI-driven solutions to enhance analytics and decision-making. Leverage Snowflake for high-performance data warehousing and analytics. Builds and manages a centralized data hub to ensure data consistency and accessibility. Defines and enforces policies to maintain data quality, security, and compliance. Collaborates with internal stakeholders to translate business needs into technical solutions. Leads end-to-end delivery of data solutions, ensuring timely and effective implementation. Drives initiatives to modernize and transform data infrastructure. Promotes a culture of innovation by exploring emerging technologies and methodologies. Serious candidates will possess the minimum qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Minimum of seven (7) years in data architecture with a focus on AI, Snowflake, Unified Data Hub, and Data Governance. Certified Data Management Professional (CDMP) preferred. Snowflake SnowPro Core Certification preferred. Certified Information Systems Security Professional (CISSP) preferred. AI/Machine Learning certifications (e.g., TensorFlow Developer Certificate) preferred. TOGAF Certification preferred. Deep knowledge of data architecture principles and best practices. Proficiency in AI technologies and their application in data ecosystems. Expertise in Snowflake and its ecosystem. Experience designing and implementing Unified Data Hubs. Strong understanding of data governance frameworks. Excellent communication and stakeholder engagement skills. Proven ability to lead technology delivery and manage complex projects. Passion for driving innovation and continuous improvement. SWBC offers*: Competitive overall compensation package Work/Life balance Employee engagement activities and recognition awards Years of Service awards Career enhancement and growth opportunities Leadership Academy and Mentor Program Continuing education and career certifications Variety of healthcare coverage options Traditional and Roth 401(k) retirement plans Lucrative Wellness Program *Based upon employee eligibility Additional Information: SWBC is a Substance-Free Workplace and requires pre-employment drug testing. Please note, SWBC does not hire tobacco users as allowed by law. To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description Ares recently created the Fund & Investor Data Group which is responsible for a variety of firmwide datasets including investor financial data and fund static and financial data. This position will play a critical role in managing and overseeing the firmwide fund static and financial data. This team works closely with various functions across the firm including, but not limited to, Fund Accounting, Operations, Fund Launch and Onboarding, Legal and Information Technology. The team ensures the accuracy, consistency, and accessibility of the dataset, supporting the growth and integration of data across the firm. A candidate who has experience with fund structures, accounting systems, and working with various datasets is preferred. The primary responsibilities for this role include: Data Governance: Oversee the centralized storage and management of static fund referential data, ensuring data quality and completeness. Data Integration: Partner with Fund Accounting teams and other business functions to standardize data fields and integrate new data sources into the Fund Master database. Data Monitoring: Maintain control dashboards, monitor data integrity, and resolve data issues with fund accounting and fund administrators. Reporting: Work with IT and other functions to develop and enhance reporting outputs and analytical dashboards. Stakeholder Collaboration: Work closely with various stakeholders, including IT, compliance, front office and fund accounting teams, to support data-related inquiries and reporting requirements. Process Improvement: Identify and implement process improvements to enhance data governance and reporting efficiency. Dataset SME: Collaborate on various projects as an SME where fund static and financial data is a key input (e.g., front office dashboards, fund onboarding, regulatory reporting) Qualifications: 4-7 years of relevant professional experience Ability to work in a fast-paced, high growth environment. Strong verbal and written skills; ability to analyze and summarize complex information both verbally and in writing. High accuracy and detail orientation; confident decision-making skills Experience with fund structures (open and closed ended) and various investor entry points and pass through entities. Strong problem-solving and analytical skills Ability to multi-task and manage various deadlines. Excellent organizational and interpersonal skills. Fund accounting experience preferred. CPA and/or accounting post-grad/MBA preferred. Strong understanding of U.S. GAAP and investor reporting needs preferred. PowerBI or other business intelligence tools experience a plus. Reporting Relationships Head of Financial Data Compensation The anticipated base salary range for this position is listed below. Total compensation may also include a discretionary performance-based bonus. Note, the range takes into account a broad spectrum of qualifications, including, but not limited to, years of relevant work experience, education, and other relevant qualifications specific to the role. $125,000 - $150,000 The firm also offers robust Benefits offerings. Ares U.S. Core Benefits include Comprehensive Medical/Rx, Dental and Vision plans; 401(k) program with company match; Flexible Savings Accounts (FSA); Healthcare Savings Accounts (HSA) with company contribution; Basic and Voluntary Life Insurance; Long-Term Disability (LTD) and Short-Term Disability (STD) insurance; Employee Assistance Program (EAP), and Commuter Benefits plan for parking and transit. Ares offers a number of additional benefits including access to a world-class medical advisory team, a mental health app that includes coaching, therapy and psychiatry, a mindfulness and wellbeing app, financial wellness benefit that includes access to a financial advisor, new parent leave, reproductive and adoption assistance, emergency backup care, matching gift program, education sponsorship program, and much more. There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.

Job Family : Data Science Consulting Travel Required : None Clearance Required : Active Secret What You Will Do : Guidehouse is seeking a Senior Data Analytics Consultant who will provide data solutions (analysis, data engineering, data science etc.) to a Department of War client. You will be a part of a multi-disciplinary, high-impact team supporting the client achieve and sustain supply chain excellence. The ideal candidate will perform technical tasks that include, but are not limited to, building data pipelines, developing visualizations, and building predictive models. These tasks will involve using advanced tools and technologies such as Python, R, SQL, and data visualization platforms like Power BI. The consultant will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the latest trends in data analytics. Experience with machine learning algorithms and statistical analysis will be highly advantageous. What You Will Need : An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Bachelor's Degree THREE (3) years of experience as a data scientist, data analyst or data engineer What Would Be Nice To Have : Knowledge of supply chain and logistics Proficiency in programming languages such as Python or R Excellent problem-solving skills and attention to detail Strong communication and collaboration skills, with the ability to work effectively in a team environment Experience with design and build of ETL programs, interfaces, and data reconciliation processes Ability to effectively communicate with all levels of staff within an organization What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $109,300.00 - $180,200.00 Target Openings 1 What Is the Opportunity? Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role. What Will You Do? Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. Design data solutions. Analyze sources to determine value and recommend data to include in analytical processes. Incorporate core data management competencies including data governance, data security and data quality. Collaborate within and across teams to support delivery and educate end users on data products/analytic environment. Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. Test data movement, transformation code, and data components. Perform other duties as assigned. What Will Our Ideal Candidate Have? Bachelor’s Degree in STEM related field or equivalent. Six years of related experience. 3+ years in a data engineer role, with additional time spent working in the IT industry or an engineering related field, adding up to 7+ years. 2+ years of hands-on ETL experience with PySpark Experience working with Cloud platform (AWS, Azure, Google, etc. - preferable AWS) and Cloud platform services. (Example of AWS core services: S3, IAM, lambda, Secret Manager, EC2.) Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices. The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions. Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on. Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems. Strong verbal and written communication skills with the ability to interact with team members and business partners. Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. What is a Must Have? Bachelor’s degree or equivalent training with data tools, techniques, and manipulation. Four years of data engineering or equivalent experience. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/ .

Company Description St. Jude is where those with a passion for making a difference come to break new ground. Located in Memphis, Tennessee, the mission of St. Jude Children’s Research Hospital is to advance cures, and means of prevention, for pediatric catastrophic diseases through research and treatment. We are leading the way the world understands, treats and defeats childhood cancer and other life-threatening diseases. Job OverviewWe are seeking a highly experienced Data Center Architect with a strong emphasis on design and planning. This critical role will be instrumental in shaping the future of our data center infrastructure, ensuring its scalability, efficiency, and resilience. You will lead the development and implementation of our data center strategies, from initial concept and design through to deployment and continuous optimization, all while ensuring operational excellence. Key Responsibilities: Conduct thorough needs assessments and capacity planning to ensure our data centers can effectively support current and future business demands. Research, evaluate, and recommend emerging data center technologies, best practices, and innovative solutions to enhance efficiency, sustainability, and performance. Collaborate closely with architects, engineers, and construction teams to ensure data center designs meet operational requirements, industry standards (e.g., Uptime Institute tiers), and regulatory compliance. Work with design team on the selection of critical data center infrastructure components (e.g., UPS systems, generators, CRAC units, switchgear, racks, cabling). Work closely with datacenter operations, network, and compute planning teams to align infrastructure deployments with power and space availability. Develop KPIs and dashboards for real-time visibility into capacity utilization and manage space and power capacity. Apply data analysis to inform strategic business decisions prioritizing operational trade-offs and capital spend. Collaborate with data engineering and tooling teams to drive automation initiatives to improve capacity planning and operational efficiencies. Analyze how datacenter infrastructure and design changes impact capacity and provide feedback to teams and to upper-level management. Develop and manage the data center budget for operational expenditures. Manage relationships with external vendors, contractors, and service providers involved in data center design, construction, and maintenance. Collaborate effectively with internal stakeholders, including IT operations, network engineering, security, facilities, and finance teams, to gather requirements and ensure alignment. Present design proposals, project updates, and recommendations to senior leadership. Ensure all data center designs and operations adhere to relevant industry standards, regulations (e.g., HIPAA, PCI DSS), and environmental guidelines. Develop and implement robust risk mitigation strategies for data center infrastructure and operations. Minimum Education and/or Training: Bachelor's degree in Computer Science, Engineering, business or related field of study required. Master's degree preferred. Minimum Experience: Minimum requirement: 5+ progressive years of IT industry experience in systems operations environment, overseeing complex environment, deployment, and infrastructure management activities. Highly prefer 10+ years of progressive experience in data center operations, with at least 5 years in a leadership role specifically focused on data center design, planning, and construction . Experience in capacity planning for new products or geographic expansions. Strong proven experience in business stakeholder engagement and management. Some experience working relevant regulatory or statutory compliance requirements. Experience providing technical guidance and mentorship within Technology Infrastructure. Proven track record of successfully leading large-scale data center infrastructure projects from conception to completion. Deep understanding of data center critical infrastructure components (power, cooling, networking, fire suppression, security). Strong knowledge of data center design principles , best practices, and industry standards (e.g., Uptime Institute Tier classifications). Familiarity with DCIM (Datacenter Infrastructure Management) tools and automation frameworks preferred. Familiarity with various data center topologies and architectures. Excellent project management skills, with the ability to manage multiple complex projects simultaneously. Strong analytical, problem-solving, and decision-making abilities. Exceptional communication, interpersonal, and presentation skills. Relevant certifications (e.g., CDFOM, CDCP, DCDP, PMP, DCDC, ITIL) are highly desirable. Proven performance in earlier role/comparable role. Licensure, Registration and/or Certification Required by SJCRH Only: Relevant certifications (e.g., CDFOM, CDCP, DCDP, PMP, DCDC, ITIL) are highly desirable. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Data Center Architect. Explore our exceptional benefits ! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Team Profile (Firmwide Data Office) The Firmwide Data Office department is recruiting for an enthusiastic, dynamic, hands-on and delivery focused Ontologist / graph developer for an innovative program that plans to harness the power of Graph & Semantic Technologies to build an Enterprise Knowledge Graph - to solve complex business problems and deliver value to various business divisions. The team vision is a multi-year effort to simplify firm's data architecture and business processes front-to-back with goals of reducing infrastructure and manpower costs, improving the ability to demonstrate control of data, empowering developers by providing consistent means of handling data, facilitate data-driven insights & decision making, and providing a platform to implement future change initiatives faster, cheaper and easier. What You will do in the role: Participate in ontology creation, ontology management and semantic enrichment efforts Work on strategies to leverage ontologies to facilitate natural language processing including fact extraction, document classification and query processing. Devise and implement processes to validate data in a semantic context and develop metrics and procedures for assessing, managing and characterizing datasets. Work with data analysts to design procedures to leverage knowledge graph data in a machine learning space Contribute to data architecture and data management strategy design Promote the creation of semantic data models and SPARQL endpoints to link quality data Work to develop processes and procedures to integrate taxonomies into the knowledge graph environment Participate in collaborating with the Firm's Ontology and Semantic Modeling consortium to develop standards and best practices Collaborate with business and other technology teams to translate business requirements into innovative solutions implementing performant, scalable, resilient distributed applications Work closely with business and technology stakeholders to align development priorities & planning with product and technology roadmap Act as a thought leader in the technical space through researching and knowing industry trends as well as cutting edge tools and technologies What You will bring to the role: Experience and expertise in W3C compliant semantic models experience (RDF, OWL and SPARQL) Experience with relevant ontology development tools and industry standard knowledge graph database tooling 5+ years complex enterprise scale data & metadata architecture experience Demonstrable experience in developing mappings and transformation processes to take data from a relational paradigm into a knowledge environment. Strong problem-solving skills, business acumen, and demonstrated excellent oral and written communication skills with both technical and non-technical audience Desired Skills: Proficient in Python, Java, Jscript or other programming languages Experience in utilizing ontology in developing natural language processing solutions Experience utilizing graph data in a machine learning environment tools Experience in creating data validation processes using SHACL, SPARQL or other rule languages Experience in Financial Services working with various front-to-back business functions like Sales and Trading, Operations, Finance etc. or in an Information Management framework Education: Bachelor's degree in information science, computer science, library science, computational linguistics, mathematics, philosophy or related discipline WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $150,000 to $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Position Overview: We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains through both technical expertise and an inquisitive, curious mindset. In this role, you’ll be expected to take ownership of QA processes for mission-critical projects—ranging from customer-facing applications to backend systems and large-scale data workflows. You’ll collaborate closely with cross-functional teams to design scalable QA strategies, guide their execution, and ensure best practices are applied across the stack and teams. You should bring a strong background in quality assurance with hands-on experience in data validation, test automation, and modern QA practices across APIs, data pipelines, and web applications. The ideal candidate is a confident QA leader—comfortable working in complex systems, resolving ambiguity, and driving clarity through structured test strategies. You’ll not only define and execute comprehensive test plans, but also help shape how we ensure data and system quality at scale. You’ll be responsible for: Designing and owning data QA processes, including test documentation, incident tracking, and quality metrics and dashboards. Design and implement end-to-end test strategies for data pipelines, ETL/ELT processes, data warehouses, and reporting systems. Building automated data validation frameworks to ensure accuracy, consistency, and reliability of large-scale datasets Creating and maintaining data quality checks, test plans, and monitoring solutions across structured and semi-structured data sources Leading QA initiatives across data-focused projects, collaborating closely with Data Engineering, Engineering, Analytics, and Project management teams Developing SQL- and script-based test suites to validate data transformations, business logic, and aggregation rules. Supporting analytics, BI, and reporting platforms by validating data integrity, lineage, and metric correctness Proactively identifying data quality issues and driving resolution through detailed root cause analysis and stakeholder coordination Integrating automated data tests into CI/CD workflows to enable continuous data validation and faster releases QA best practices in the data domainMentoring other QA team members on data validation techniques, automation strategies, and QA best practices in the data domain Ideal candidate requirements: Technical Skills 7+ years of experience in QA area 4+ years of experience as a Data QA Engineer/Data QA Analyst Deep understanding of general QA process, test design techniques and industry standards. Strong expertise in scripting programming languages (JavaScript/Python) Proven experience designing, building, and scaling Data QA processes Experience managing QA for projects and working in standard QA and project management tools like Testrails, Jira, Confluence Experience with white/grey box testing. Comfortable building, supporting, and integrating with production-grade ETL/data pipelines Build and maintain data quality automation frameworks using SQL, JavaScript/Python, or test platforms like DBT tests, Apache Airflow validations, etc. Understanding of the data governance concepts and experience with data governance tools or platforms. Understanding of cloud infrastructure (AWS preferred), CI/CD workflows, and containerization (Docker, Kubernetes) Business Skills Capable of leading Data QA projects across both application and data-focused initiatives Strong communication skills with an ability to bridge technical and non-technical stakeholders Demonstrated experience mentoring QA analysts and QA engineers and contributing to QA culture and growth Experience in fast-paced startup or scaling environments Prior experience in healthcare, life sciences, or regulated data environments is a plus Bonus Points Experience building or supporting admin tools and internal platforms Experience with data observability, schema governance, or data lineage tooling Exposure to machine learning pipelines, business intelligence tools, or product instrumentation Familiarity with mobile development frameworks such as React Native or Capacitor Benefits: Competitive Salary 100% Company-Paid Premium Option for Employee’s Medical, Vision, and Dental Plans Short-term and Long-term Disability Life Insurance 401k Matching Work from Anywhere within the US Flexible PTO 100% Paid Parental Leave Post-Parental Leave Program - $5k stipend to assist with expenses, 4 week 100% paid “Ease-Back” return to work transition period Charitable donation matching Location: Our “Work from Anywhere” philosophy is aimed at making sure that we recruit a diverse range of thought leadership to ensure that our technology is better able to serve local health care providers. Our goal is to hire the country’s top talent and allow them to create an environment within the U.S. where they can do their best work. About Our Organization: At RxVantage, we're a small company with a big mission: to connect healthcare providers with the right life science experts and resources they need, exactly when they need them, to improve patient care. We’ve built a software platform that’s changing the way providers learn about the latest medical advancements and technologies. Every year, our platform powers over 1 million educational exchanges between medical practices and life science companies, making it easier for them to stay informed and provide better care. We have a proven product, a strong mission, and a passionate team. Now, we're looking for talented people to help us grow even more. If you're driven, eager to make an impact, and ready to be part of something meaningful, we want to hear from you! --- RxVantage is an equal opportunity employer and dedicated to ensuring that we represent the local communities where our health and wellbeing providers serve as pillars of support to our family, friends, and neighbors. Our representation within these communities allows us to embody a diverse set of backgrounds, experiences, abilities and perspectives; and provide an inclusive environment for our team to feel empowered to be their authentic selves, without fear of harassment or discrimination.

About Fable Security AI-driven threats and human error are today’s biggest enterprise security risks. Cybercriminals don’t hack systems—they exploit people. Human errors drive 90% of security breaches, making human behavior the primary and growing attack surface. Fable is a security platform that mitigates human risks to the business. We built the first AI-native Human Behavior Platform to eliminate human risk wherever employees work. By leveraging GenAI and behavioral systems, we automatically detect at-risk employees, deliver personalized interventions at critical moments, and remove tangible risks to the business — at scale. Backed by Greylock Partners and founded by early Abnormal Security team members, Fable is solving cybersecurity’s biggest challenge in a multi-billion-dollar market. Our team includes alumni from Meta, Twitter, Flexport, and top-tier universities like Waterloo, Columbia, Berkeley, Purdue, CMU, Stanford, USC, and UW. We are experiencing explosive growth, making this a career-defining opportunity to join and shape the future of security. Why Join Fable as a Data Engineer Build and scale the foundational data systems behind a new category in cybersecurity. Partner closely with data scientists, backend engineers, and security practitioners to operationalize data at scale. Work on unique challenges in data product versioning, historical tracking, and scalable data releases across dynamic human risk behaviors. Join a small, high-caliber team poised to double in size within the next year. Your Role As a Data Engineer at Fable, you will own the architecture, development, and reliability of our data pipelines and warehouse. You’ll build scalable, observable, and versioned data infrastructure that powers Fable’s Human Behavior Platform — from raw ingestion to analytical insights. You will play a central role in ensuring that Fable’s data foundation can support real-time behavioral analysis, historical tracking, and large-scale experimentation across diverse data sources. Responsibilities Design, build, and maintain scalable data pipelines in Databricks , leveraging dbt , SQL , and Python for transformation and orchestration. Manage data ingestion and versioning across multiple behavioral and security data sources. Implement data versioning frameworks and reproducible datasets for experimentation and risk modeling. Build tooling to support scalable data releases and consistent historical tracking of employee risk behavior. Partner with data scientists to productionize analytical and ML-ready datasets. Define and maintain best practices for data quality, documentation, and lineage. Optimize performance, storage, and cost efficiency across the data platform. Contribute to infrastructure that enables secure and compliant data workflows in AWS (S3, IAM, Lambda, etc.) . Your Skillset: Must-Have 3–7 years of experience as a Data Engineer, Analytics Engineer, or similar role. Proficiency in SQL , Python , and dbt for data modeling and transformation. Experience building and maintaining pipelines in Databricks , Spark, or similar distributed compute environments. Strong understanding of data versioning , reproducibility , and ETL orchestration . Hands-on experience with AWS S3 and modern data storage patterns. Ability to design for scalability, reliability, and observability. Experience collaborating closely with data scientists, designers, and backend engineers in a fast-moving environment. Your Skillset: Nice-to-Have Experience with data release management , feature stores , semantic layers, and/or historical record tracking for behavioral or security data. Familiarity with ML Ops , Airflow , or other orchestration tools. Experience in a cybersecurity, risk, or compliance-focused domain. Prior experience in an early-stage startup or high-growth company. How We Work We work from our San Francisco office three days a week , fostering deep collaboration and creative problem-solving. We value impact over process - every engineer directly shapes how our platform detects and mitigates human risk. We emphasize mutual trust, technical rigor, and building differentiated, AI-driven security products. Compensation The estimated salary range for this position is $160,000 – $220,000/year . Total compensation may also include Restricted Stock Units (RSUs). Final compensation will depend on experience, qualifications, and other factors.