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Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus 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. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you will lead the development and implementation of AI-driven automation strategies that enhance data management and improve operational productivity. As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to drive results and maintain operational excellence while mentoring performance-oriented teams to solve complex problems. This role offers the chance to work at the forefront of AI and data quality, working with diverse stakeholders to promote innovative solutions and maintain the integrity of enterprise data systems. Responsibilities Streamline data management processes to enhance operational effectiveness Serve as a strategic advisor to stakeholders on data quality and integrity Mentor and develop top-performing teams to tackle complex challenges Maintain adherence to industry standards in enterprise data systems Analyze and interpret data trends to inform decision-making Drive continuous improvement in data management strategies What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Engineering preferred Demonstrating in-depth abilities in AI-driven automation strategies Leading AI and automation teams in scalable model deployment Enhancing data quality through AI-powered analytics Integrating AI solutions into data ecosystems Advocating for software engineering practices in machine learning Mentoring team members to foster innovation and accountability Managing collaboration across analytics and AI efforts Staying current on emerging trends in AI and automation Travel Requirements Up to 20% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $91,000 - $321,500, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus 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. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

The Role: This position offers a fast-paced environment with a strong team of diverse engineers that are central in building Arine's data operations infrastructure. You will have the opportunity to have a direct impact on the scalable ingestion and operational architecture that supports our internal data platform. Working alongside our analytics engineers who focus on dbt transformations, you will own the critical "EL" (Extract-Load) infrastructure that feeds our medallion architecture, ensuring raw data flows seamlessly from our platform sources into our staging layer where analytics engineers can build robust dbt models for our data science, machine learning/AI, and reporting teams. Are You a Good Fit? The Senior Data Engineer will be responsible for architecting, building, and maintaining scalable data ingestion infrastructure and operational systems that support our medallion architecture (staging → intermediate → marts). This role focuses primarily on the "EL" (Extract-Load) portion of our ELT stack, working closely with analytics engineers who own the dbt transformation layer. You will be responsible for building robust, configuration-driven systems and event-driven processes that scale effectively to handle large enterprise datasets. This position requires expertise in scalable, incremental data migration from sources like RDS and DynamoDB into Snowflake, using tools like Kinesis, Airbyte, or other open-source solutions. You must be comfortable with containerization and building maintainable, configuration-driven toolsets that diverse engineering profiles can utilize effectively. What You'll be Doing: Architecting and implementing scalable data ingestion infrastructure from platform sources (RDS, DynamoDB) into Snowflake Building event-driven data pipelines using tools like Kinesis, Airbyte, or other open-source ingestion frameworks that scale effectively Designing systems that support our medallion architecture and enable smooth data flow into the staging layer Creating configuration-driven, containerized toolsets that can be easily used and maintained by diverse engineering profiles Collaborating with analytics engineers to ensure smooth data flow into the staging layer for dbt transformations Implementing incremental data migration strategies for large-scale healthcare datasets Building monitoring and alerting systems for data ingestion processes and pipeline health Applying software engineering best practices including test-driven development and modular design to data infrastructure Refactoring and rebuilding existing data ingestion processes to improve scalability and operational efficiency Working with containerization technologies (Docker, Kubernetes) to create portable and maintainable data solutions Supporting the migration to our staging → intermediate → marts medallion structure Mentoring team members on data operations best practices and infrastructure design patterns Who You Are and What You Bring: 6+ years of professional experience in data engineering with focus on large-scale data ingestion and infrastructure Strong experience with scalable data ingestion tools such as Kinesis, Airbyte, Kafka, or similar open-source solutions Proven experience building event-driven ETL/ELT systems that move large datasets from operational databases (RDS, DynamoDB) to data warehouses (Snowflake) Deep understanding of software engineering principles including test-driven development, loose coupling, single responsibility, and modular design Experience with containerization technologies (Docker, Kubernetes) and building configuration-driven, maintainable systems Understanding of medallion/layered data architecture patterns and experience supporting analytics engineering workflows Experience with incremental data processing and change data capture (CDC) methodologies Hands-on experience with cloud data infrastructure, particularly AWS services (S3, Kinesis, Lambda, Step Functions, RDS, DynamoDB) Proven ability to build tools and systems that can be operated by diverse engineering profiles through configuration rather than code changes Experience working with large healthcare datasets and understanding of data privacy and compliance requirements Demonstrated ability to refactor and improve existing data infrastructure for better scalability and operational efficiency Strong collaboration skills working with analytics engineers, data scientists, and ML engineers Excellent verbal and written communication skills with ability to explain technical infrastructure concepts to diverse audiences Passion for building robust, maintainable, and operationally excellent data systems Remote Work Requirements: An established private work area that ensures information privacy A stable high-speed internet connection for remote work This role is remote, but you will be required to come to on-site meetings multiple times per year. This may be in the interview process, onboarding, and team meetings Perks: Joining Arine offers you a dynamic role and the opportunity to contribute to the company's growth and shape its future. You'll have unparalleled learning and growth prospects, collaborating closely with experienced Clinicians, Engineers, Software Architects, Data Scientists, and Digital Health Entrepreneurs. The posted range represents the expected base salary for this position and does not include any other potential components of the compensation package, benefits, and perks. Ultimately, the final pay decision will consider factors such as your experience, job level, location, and other relevant job-related criteria. The base salary range for this position is: $165,000-180,000/year.

Industry: Private Equity–Backed Manufacturing Location: Remote (US-Based Preferred) Start Date: ASAP Duration: 3–6 months with high potential for extension (Phase 2) Make a Real Impact from Day One Are you a seasoned Data Engineer looking for a project where your work directly drives financial decisions and business transformation? Join us on a high-priority initiative for a PE-backed manufacturer undergoing a major ERP shift. Your mission: help establish a critical monthly inventory valuation process by unlocking data from a legacy AS400 system. This is a unique opportunity to lead a highly visible, hands-on project from the ground up—solving real business problems, working with engaged stakeholders, and setting the stage for long-term modernization. What You'll Do Design & build an interim data extraction pipeline from a legacy AS400 (IBM iSeries) system. Create a monthly “book of record” for inventory valuation, enabling financial close and business reporting. Engineer a method to lock monthly labor and material inputs for data consistency and audit-readiness. Collaborate directly with finance, ops, and executive stakeholders—no red tape. Set the foundation for Phase 2 : advanced visualization and ongoing maintenance. What You Bring 8+ years of experience as a data engineer or technical data consultant. Solid track record of working with legacy systems , especially AS400/DB2 (strongly preferred). Strong skills in ETL pipeline development , SQL , and handling structured enterprise data. Comfortable working in fast-paced, private equity-backed or high-growth environments. Deep understanding of inventory valuation , cost inputs , or financial close processes . You're a self-starter , comfortable owning deliverables and working independently. Tech Environment AS400 / DB2 (preferred), legacy ERPs Python, SQL, Bash/Shell scripting SQL Server, Oracle, Snowflake Git or version control workflows Power BI, Tableau (for future phases) Why You'll Love This Role Immediate impact on a business-critical initiative Flexible, remote work setup with autonomy Work with a highly collaborative client team who values technical leadership Opportunity to own a project end-to-end , not just maintain someone else's code Visibility and influence with executive stakeholders Possibility for follow-on work in analytics, visualization, and ERP transformation

Data Engineer, Data Products AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. In this role, you will build and refine AcuityMD's data assets and products and you will extend our data product offerings. You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and other teams. Team Mission The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. Responsibilities Model new data and improve existing data products with quantitative rigor that solve customer problems and ensure correctness and interpretability Transform and integrate raw data from multiple sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques Work directly with product managers and cross-functional stakeholders to design solutions, validation frameworks and statistical benchmarks Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines for internal stakeholders Develop and maintain batch data pipelines using Python and SQL with automated quality checks Your Profile You have 2+ years of experience working in a data or analytical role building data or doing quantitative analysis of data Excellent problem-solving skills and ability to apply math/statistics to data problems You communicate business concepts, technical requirements, recommendations and code clearly and concisely You have built data transforms and pipelines in any capacity using a programming language such as Python You have demonstrated ability to explore, transform, and analyze data in a any type of relational database using SQL Nice to Haves Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster Familiarity with healthcare billing/data Familiarity with dimensional modeling Familiarity with incorporating LLM models into development workflows AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, market data and may vary from the range provided. Base salary range: $120,000-$170,000 You must have an eligible work permit in the USA or Canada to be considered for this position. We Offer: Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees. Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents. Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement. Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. Parental Leave: 6-12 weeks of fully-paid, flexible parental leave. Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). Competitive compensation with equity upside. Who We Are: The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Benefits: Company parties Competitive salary Dental insurance Free food & snacks Hi Hope doing good & Well Work location: Dallas, TX /Atlanta, GA End client: IBM/DTV Compltely on site position Job Description We are looking for an experienced Databricks Subject Matter Expert (SME) with expertise in Data Profiling and Data Modeling to join our growing team. In this role, you will be responsible for leveraging Databricks to drive end-to-end data solutions, ensuring data quality, and optimizing data pipelines for performance and scalability. You will also play a pivotal role in designing, implementing, and maintaining data models that align with business requirements and industry best practices. The ideal candidate should have deep experience with the Databricks ecosystem, including Spark, Delta Lake, and other cloud-based data technologies, combined with a strong understanding of data profiling and data modeling concepts. You will collaborate closely with data engineers, data scientists, and business analysts to ensure data integrity, accuracy, and optimal architecture. Skills and Qualifications: Technical Skills: Databricks (including Spark, Delta Lake, and other relevant components) · 8+ years of hands-on experience with Databricks or related technologies. Strong expertise in Data Profiling tools and techniques. Experience in Data Profiling and Data Quality management. · Experience in Data Modeling , including working with dimensional models for analytics. Advanced knowledge of SQL , PySpark , and other scripting languages used within Databricks. Experience with Data Modeling (e.g., relational, dimensional, star schema, snowflake schema). Hands-on experience with ETL/ELT processes , data integration, and data pipeline optimization. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud data storage technologies. Proficiency in Python , Scala , or other programming languages commonly used in Databricks. Experience in Data Governance and Data Quality practices.. · Familiarity with Machine Learning workflows within Databricks is a plus. Thank you venkatesh@careits.com Compensation: $50.00 - $60.00 per hour Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Support Engineering Data Specialist (Support Engineering Data) Company: The Boeing Company Boeing Global Services (BGS) is seeking a Support Data Engineering Specialist to develop Built-In Test (BIT) Rule Authoring data in support of Aircrew and Maintenance Debrief across multiple F-15 programs. This candidate will work collaboratively with Boeing employees, customers, and contractors to fulfill the F-15 BIT Rule Authoring contractual requirements. The candidate selected for this position will work within an Engineering Capability team providing 100% on-site support at the Hazelwood, MO facility Position Responsibilities: Analyze engineering data to build system fault rules based on Boolean logic. Read and interpret fault description tables from technical publications and incorporate them into various debrief tools. Use a variety of tools and common desktop software to gather, analyze, and generate report data. Build or update access databases used for debriefing and general aircraft information. Build .DLG graphics and forms for systems that have observable fault indications that aid in troubleshooting using an XML format. Resolve source data gaps and inconsistencies with data originator. Build test cases to validate forms in XML database. Support customer verification reviews and take corrective action based on outcome. Assist in providing technical solutions to customers’ questions; evaluate customers' maintenance operations. Work collaboratively in a team environment with multiple internal engineering and support teams (program management, engineering, software, and technical publications) to reach mutually acceptable decisions. Participate/lead in-person and virtual working group meetings. Confidently and professionally, work with customers and suppliers. Demonstrate excellent verbal and written communication skills. Be organized, logical, and meticulous. Attention to detail is critical. Understand and work within budget and schedule constraints. Be able to meet demands of multiple customer deliveries. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship. An interim and/or final U.S. Secret clearance Post Start is required. Basic Qualifications (Required Skills/Experience): Minimum 3-year relevant experience with aircraft electrical, mechanical or systems engineering or equivalent military experience. 3-4 years’ experience with military and/or commercial aircraft technical manuals, task relationships and familiar with Technical Orders and/or Technical Order System requirements. Able to understand and interpret engineering data with previous experience using Technical Publications to maintain military/commercial aircraft. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree in a related technical field, or higher. Strong analytical and problem-solving skills, with the ability to evaluate complex technical information and make informed decisions. Experience using Microsoft Office Products (Outlook, Power Point, Excel, Access and Word). Ability to understand the big picture and the inter-relationships of all activities within the debrief system. Typical Education/Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: 79,900 – 108,100 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

About Particle Particle Health is revolutionizing healthcare data analytics and interoperability. Our mission is to unlock the power of medical records in an intelligent platform that focuses health back on the patient. Through our modern data platform, we enable healthcare innovators—ranging from value-based care providers and payers to digital health companies and health systems—to access standardized, real-time patient data. By bridging fragmented data silos, Particle empowers organizations to tackle critical use cases such as care coordination, risk stratification, patient identity management, and regulatory compliance with ease and precision. Our solutions of Snapshot, Signal, Navigator, and Workbench address the complex challenges of healthcare data analytics and interoperability, helping our customers transform data into actionable insights, improve patient outcomes, and streamline workflows. Company Overview At Particle Health, our mission is to unlock the power of medical records in an intelligent platform that focuses healthcare back on the patient. We do that through connecting our customers to national and state medical record exchanges, which facilitates medical record sharing and interoperability. That also gives us access to arguably some of the best fully longitudinal data on millions of patients. Our energy is then spent organizing and processing that data, making that data useful in different settings. Powered by this data, we are building a data platform offering important clinical insights to our customers. Our customers are Healthcare AI companies building solutions, digital healthcare providers, payers, EHRs, and condition-specific platforms. About the Role At Particle Health, data is at the core of everything we do. As a Healthcare Data Architect / Senior Data Engineer , you’ll play a pivotal role in organizing and optimizing our data assets to meet the evolving needs of our customers and the healthcare landscape. With access to diverse datasets like EHR, prescription fills, and provider data, you’ll tackle some of the most complex and impactful challenges in healthcare data today. We’re specifically looking for senior-level professionals with hands-on experience working with healthcare data —especially EHR formats like CCDA, FHIR, and HL7v2. This role is about more than technical expertise—it’s about curiosity and collaboration. You’ll explore the depths of patient-level data to uncover opportunities and solve problems, asking critical questions that guide us toward delivering transformative insights. From identifying treatment adherence patterns to predicting gaps in care and developing risk scores, your work will have a direct impact on our customers' ability to improve patient outcomes. Your contributions will shape the foundational components of Particle’s data platform and analytics strategy, driving innovation and quality across our products. You’ll also work closely with cross-functional teams to ensure our data capabilities align with business goals, helping us achieve our mission of making healthcare smarter and more patient-focused. Location & Work Schedule This is a hybrid role based in New York City . The team works in-office two days per week (Tuesdays and Thursdays) , so applicants must be located within commuting distance and comfortable with in-person collaboration. What You’ll Do As a Healthcare Data Architect / Sr Data Engineer your role will have three core focus areas: Data Engineering (75%) Build and optimize efficient, scalable data pipelines for ingestion, transformation, and enrichment, powering Particle Health’s Platform. Monitor, troubleshoot data issues, and ensure data availability, reliability, and scalability for the SaaS product. Work with Product and Engineering leadership to develop product features and analyses that enhance our understanding of the data and its applications. Implement data standards, policies, procedures, and best practices for data management, data quality, data security, and data privacy, ensuring compliance with internal and external regulations and standards. Help design and evolve Particle’s data infrastructure to reduce toil, improve operational efficiency, and reduce processing cost. Data Quality & Architecture (25%) Lead the design and development of a robust data architecture that guides data modeling, ingestion, processing, and data quality enabling data product development at Particle Health. Design and develop conceptual, logical, and physical data models ensuring they meet the needs of our platform and customers and account for the data domains, structures, relationships, quality, security, and data privacy of the product. Help address gaps in our data, identifying solutions, and improving reliability to establish a competitive edge and firmly cementing our data quality as a key differentiator of our platform. Collaborate Across Teams Work cross-functionally with Data Engineering, Data Science, Product, and Engineering teams to align on architectural needs and enable the development of new features and analyses. Partner with leadership to translate business requirements into scalable data solutions that provide insight and impact. What We Seek This is a senior-level, hybrid role based in NYC . Candidates must have prior experience working with healthcare datasets and be comfortable collaborating in person 2x/week. Extensive experience and domain expertise with healthcare data (especially EHR - CCDA, FHIR and/or Claims data, ADTs), including clinical applications and/or risk stratification. Advanced technical skills, especially with Python, SQL, and Spark —these are core to our data stack and day-to-day engineering work. Proven proficiency in building and optimizing data-intensive systems and pipelines. Deep curiosity and critical thinking to explore and break down complex data sets to isolate key outcomes. Effective communication skills to convey complex technical concepts to both technical and non-technical stakeholders. Analytical thinking and interest in using metrics to improve decision-making and influence behavior. Comfort with ambiguity. A lifelong learner who has the demonstrated ability to pick up new skills quickly. What You Bring to the Table 8+ years of experience in data engineering with a strong background in data architecture and data modeling. 5+ years of experience in data architecture, data modeling, data governance, and data analytics, preferably for SaaS products or cloud-based applications. 5+ years of experience with healthcare data & formats (e.g., CCDA, FHIR, HL7v2, Claims, ADTs, Tuva Schema, OMOP). Strong knowledge and skills in data modeling tools and languages and in designing data models for SaaS products or cloud-based applications. Deep expertise in Python , with a deep understanding and hands-on experience in Spark for designing, optimizing, and scaling large-scale data processing pipelines, and proficiency in at least one SQL dialect. Experience with data lake technologies (e.g., Databricks, Delta Lake), data storage formats (Parquet, Avro), query engines (such as Photon, Spark SQL), and both real-time streaming and batch processing, or equivalent technologies and frameworks. Bonus if you’ve worked with healthcare analytics products or platforms, or contributed to clinical decision-making tools, risk models, or care gap identification. Why Particle Health? Purposeful Work: Contribute to projects that directly improve healthcare access, empower providers, and enhance patient outcomes. Collaborative Culture: Thrive in a mission-driven, curiosity-fueled environment where ownership and bold ideas are celebrated. Flexibility & Balance: Enjoy unlimited PTO and a hybrid work schedule, giving you a mix of energizing, in-person collaboration, and remote work time. We also provide free lunch on Tuesdays and Thursdays when our team is in office! Bonus Program: Get rewarded for great work—our twice-a-year bonus program reflects both your contributions and our overall success. Comprehensive Benefits: ~ 95% employer-paid health benefits for you and generous coverage for your family. Employer-funded 401(k) contribution to help you build a secure future. Mental health benefits to support your well-being. Invest in Your Future: Receive employee equity, ensuring you share in the company’s success. Family Support: Access 14 weeks of fully paid parental leave, so you can focus on what matters most. At Particle Health, your contributions don’t just impact the company—they shape the future of healthcare. Join us, and let’s make a difference together! Compensation Range : For this role, we’re targeting a salary range of $200,000–$222,000 annually, depending on experience and qualifications. If your background aligns more closely with a higher or lower level than the scope outlined here, compensation may vary accordingly. #LI-Hybrid At Particle Health, we believe diversity is a strength that drives and fuels our mission to transform healthcare. We are proud to be an equal opportunity employer and are committed to creating an inclusive, supportive environment where everyone can thrive. We welcome and celebrate individuals of all backgrounds, perspectives, and experiences, regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. Our commitment to diversity reflects our core values—integrity, curiosity, boldness, ownership, and persistence—and our belief that our differences make us stronger as a team and a company. For more info about Particle and our team, check out the resources & links included. https://www.particlehealth.com/ https://builtin.com/awards/new-york-city/2024/best-startup-places-to-work#particle-health Notice: Recruitment Scam Alert We’ve been made aware of attempts by scammers impersonating Particle Health or our team members to post fake job listings, conduct fraudulent interviews, or issue fake offer letters. These scams may involve: Requests for personal or financial information Interviews conducted only via text or messaging apps Emails that don’t come from an @ particlehealth.com address Offers for jobs you didn’t apply for Please note: We will never ask for money, gift cards, or personal financial details at any stage of our hiring process All legitimate communication will come from an official @ particlehealth.com email address Our hiring process always includes video interviews — never just text If you’re unsure about the legitimacy of a communication, don’t hesitate to contact us at hiring@particlehealth.com . We’re here to help.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for a senior data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases. This is a hybrid role based in our New York City headquarters. Responsibilities Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies. Ingest and organize structured and unstructured data for widespread reuse across patterns. Implement mechanisms to ensure data quality, observability and governance best practices. Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments. Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies. Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Programming fluency with Python. Experience using version control and CI/CD tools, such as Github and Drone. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. REQ-018499 The annual base pay range for this role is between: $140,000-$155,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company will further consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable "Fair Chance" laws. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You've have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. $180,000 - $270,000 a year The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here.

WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp! At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered. If you like what we're saying, keep reading! WHY THIS ROLE IS IMPORTANT TO US At SimCorp, we facilitate the streamlining of investments, accounting, and operations for major global financial institutions. We do this through IT systems, processes, and financial knowledge. Implementing our software by way of high-quality projects is at the core of what we do. To introduce our software to our clients, business consultants are essential to us. In the role of Lead Business Consultant specializing in Data Management and Data Integration, your participation will be instrumental in the expansion of our market unit and in advancing the outcomes of our clients' projects. You will normally be working full-time on implementation projects, which require your special expertise in Data Management and Data Integration, and you will be responsible for all aspects of the project stream. You will act as an important sparring partner for your clients and effectively monitor, coordinate, and escalate issues as needed. WHAT YOU WILL BE RESPONSIBLE FOR Responsibility for major parts of SimCorp One implementation projects: You know the customer requirements and processes related to Investment Operations at banks, asset managers and insurers and outline solutions for optimal use of SimCorp One Close cooperation with the project manager and key role in developing projects to success Gain understanding of SimCorp's Global Standard Solutions and utilize them for project delivery Key contact for our customers for all questions in connection with SimCorp One Instruct and mentor less experienced colleagues on the job Contribute to improving best practices for implementation processes and promote topics across projects Actively participate in know-how exchange with colleagues on an international level WHAT WE VALUE Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to have expertise at several of the following: Previous experience as an Analyst or (Implementation) Consultant for asset managers, asset owners, banks or consulting firms Hands-on experience with SimCorp One / SimCorp Dimension (SCD) Excellent know-how in at least two of the following areas: Enterprise Data Management Data Integration architecture, patterns and standards WS*, REST API, JSON XML, XSLT and other scripting languages like Phyton Relational Databases: Oracle, SQL Server and/or ETL tools C# or any other object-oriented language Testing e.g., Test-Driven Development, agile testing, test automation, test methodologies System performance improvements Continuous integration and delivery (CI/CD) Experience working on software implementation projects in the financial industry. Ability to manage assigned tasks and deliver the results on time Basic understanding of financial industry/products and related workflows Very good communication skills and proficiency in English - both oral and written Ability to travel to client's site BENEFITS An attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just only one route - we offer an individual approach to professional development to support the direction you want to take. For New York City only: The salary range for this position is $133,000 - $170,000. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave, and retirement plans. Your total compensation may vary based on role, location, department and individual performance. NEXT STEPS Applications are continuously assessed, so please send your CV in English as soon as possible. Please note: Only applications sent through our system will be processed. For those keen on exploring opportunities with SimCorp but questioning the alignment with this position, we welcome you to submit your CV for consideration. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you in discovering the right role for you. The approximate time to consider your CV is three weeks. We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process, we will ask you to provide your feedback, which is highly appreciated . WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 3,000+ colleagues with a broad range of nationalities, education, professional experiences, ages, and backgrounds in general. SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients, with SimCorp as the overarching company brand and Axioma as a key product brand. SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients. SimCorp Canada welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. #Li-Hybrid

In-Person round of interview mandatory. Tech Stack: Big Data, Spark, Python, SQL, GCP is must. Need a hardcore, heavy hitting Data Engineer who is extremely skilled and is able to function independently and manage their deliverables Capable of writing ETL pipelines using Python from scratch Expert in OOP principles and concepts Ability to independently write efficient and reusable code for ETL pipelines Expert in data modeling concepts such as schemas and entity relationships Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle) Familiarity with Airflow and understands how to develop DAGs Expert in data warehouses like BigQuery, Databricks Deltalakehouse and how to programmatically ingest, cleanse, govern and report data out of them Expertise in Spark. Powered by JazzHR

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the AVP (Assistant Vice President) will support the U.S. Banks Data Quality Program for driving compliance with the Firm’s Data Quality Policy and procedures. The AVP role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Executing Global Data Quality Policy requirements to ensure compliance of prioritized data for the US Banks. Collaborate with Firm Data Office, Divisional Data Offices and Technology partners to perform data flow analysis, assess data quality controls, identify data owners, catalog metadata in Collibra, and manage annual re-attestation. Create activities for technology delivery to develop dashboards, automate stakeholder communications, and provide data quality management solutions. Deliver educational sessions and empower stakeholders to perform their roles and responsibilities with available tools. Identify data related issues related to processes, technical issues, or controls impacting data Consumers. Monitor and report on data related issues, partner with issue owning division to ensure accuracy of issues reported and timely remediation. Monitor data quality controls and report to stakeholders for timely review and resolution. Develop metrics and dashboards for periodic management committee reporting. Document and maintain procedures and desktop procedures. Qualifications Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Minimum 5+ years of experience in financial services. Bachelor’s Degree required. Experience working in fast paced and Agile environment. Strong analytical skills with a focus on remediating data issues. Experience with data management and governance, data quality, data analysis, data lineage processes are a distinct plus. Ability to collaborate with cross-functional stakeholders. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. 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 $85,000 and $140,000 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).

Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: Crowe is looking for a Data Solutions Architect to be a leader on our team of problem solvers with extensive consulting and industry experience. The primary focus will be helping our clients solve complex business issues from strategy to execution. Specific responsibilities include but are not limited to: Serve as subject matter expert on Business Intelligence engineering platforms (Ex - Microsoft SQL Server, Azure Data platform, Snowflake, DBT) demonstrating platform capabilities and promoting application of toolset to address business needs and maximize the value realized from technology investment. Oversee the design and deployment of data pipelines, analytics platforms, and reporting frameworks that improve transparency and support decision-making. Utilize advanced analytics, machine learning, and statistical modeling techniques to detect anomalous activity and patterns in transaction data. Ensure data quality and integrity through best practices in data management and governance. Mentor and lead a team of data analysts and consultants, fostering a collaborative and innovative work environment. Provide technical guidance and career development opportunities to junior team members, ensuring high levels of performance and professional growth. Facilitate cross-functional collaboration among teams to integrate data-driven insights into broader business strategies. Keep abreast of evolving regulations and industry standards related to BSA/AML and financial crime prevention. Develop and implement frameworks that align with regulatory changes and help clients stay ahead of compliance requirements. Work with legal and compliance teams to translate regulatory requirements into actionable data analytics strategies. Contribute to proposals and presentations for potential clients, demonstrating expertise in data analytics and regulatory compliance. Represent the organization at industry events and conferences as a subject matter expert in data consulting for Bank Secrecy Act (BSA) and Anti-Money Laundering (AML). Drive internal innovation by identifying emerging technologies and methodologies that can improve service delivery. Participate in presales engagements to manage the vision and expectations of a client’s multiple stakeholders and create a conceptual solution design involving effort estimation, technical and functional solution, execution methodology, project plan, and team. Participate in the systems development process, including planning and monitoring systems development efforts, coordinating activities with other groups, reviewing deliverables and communicating status to the project manager and client. Lead and provide technical guidance and mentorship to other team members. Architect, implement, deploy, and support analytical databases and pipelines in an Azure environment. Create proofs of concepts as necessary for architectural vision, strategy, and tool evaluation. Document, diagram, and present complex/technical material that can be understood by a non-technical audience. Create and deploy accurate client architecture and analyses in a relatively short period of time. Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, Finance, or a related field is required. Advanced degree (Master’s/Ph.D.) is preferred. Experience working in or consulting for financial services. In-depth understanding of Bank Secrecy Act (BSA), Financial Audits, or Anti-Money Laundering (AML) regulations and compliance requirements. At least 7–10 years of progressive experience in data analytics, consulting, or financial services; a strong background in banking and regulatory compliance implementations is desired. Proven track record in managing complex data projects and leading cross-functional teams. Experience in working with large datasets, data warehousing, and advanced analytics tools. 8+ years of hands-on experience in enterprise data warehouse and data lake implementations 5+ years of external client consulting experience 5+ years of hands-on experience building automated ETL/ELT or data integration processes utilizing multiple source systems 5+ years of team management experience (including offshore resources) 5+ years of experience leading multiple external client projects simultaneously 5+ years of preparing detailed external client project budget estimations with strong resource management capabilities 3+ years of in-depth experience in architecting, designing, and implementing complex data architectures on Azure including Azure Data Factory, Azure/Managed Instance SQL Server, Azure Logic App, and Azure Synapse Analytics Experience mentoring teammates or conducting technical training Possess integrity and a strong work ethic Strong analytical and verbal/written communication skills Certifications (Preferred) Certifications in BI (ETL tools, visualization tools, cloud architectures) are expected Certifications such as CAMS (Certified Anti-Money Laundering Specialist), CFE (Certified Fraud Examiner). Preferred Skills and Experience Hands-on experience with comprehensive dimensional modelling and end-to-end data warehouse projects, including: requirements gathering infrastructure planning and deployment subject matter expert interviews logical and physical dimensional model design and development ETL/ELT development and maintenance model and data validation documentation Previous consulting experience or experience working with external clients Proficiency in analytics and statistical programming languages (e.g., Python, R, SQL). Experience with data visualization tools (e.g., Tableau, Power BI) and big data technologies. Familiarity with machine learning frameworks and cloud-based data platforms is advantageous Experience working on projects using agile development practices Azure experience: building landing zones, provisioning resources, establishing security is a big plus Key Stakeholders This Role Interacts With: Internal Senior BI Analyst Data Product Manager BI Architect / Senior Architect Data Engineers Analytics Developers (Power BI, Tableau) External C-Suite Executives (CEO, CFO, CIO, etc.) Clients Operations Leads and Mid-Level Managers Data Owners, Data Stewards Enterprise Information Management and Data Governance Team We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. The wage range for this role takes into account the wide range of 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,400.00 - $204,100.00 per year. Our Benefits: Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world. Crowe LLP 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, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws. Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

Description About Reserv Reserv is an insurtech creating and incubating cutting-edge AI and automation technology to bring efficiency and simplicity to claims. Founded by insurtech veterans with deep experience in SaaS and digital claims, Reserv is venture-backed by Bain Capital and Altai Ventures and began operations in May 2022. We are focused on automating highly manual tasks to tackle long-standing problems in claims and set a new standard for TPAs, insurance technology providers, and adjusters alike. We have ambitious (but attainable!) goals and need adjusters who can work in an evolving environment. If building a leading TPA and the prospect of tackling the long-standing challenges of the claims role sounds exciting, we can’t wait to meet you. About the role As a senior analyst in a well-funded Series B stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights. For this role, we are seeking an experienced data analyst with 5+ years of hands-on Business Intelligence development and administration, strong SQL skills and a passion for building scalable, performant reporting solutions. Running independently and collaborating with our engineering and operations orgs alike, you’ll help both technical and non-technical teams unlock the full value of our data. If you are ready to mold the vision for Reserv’s technology, join us on the journey. What we need We need you to do all the things typical to the role: Develop and maintain our Looker ecosystem, aligning with industry best practices for model structure, governance, and scalability Own the documentation and user training program for our Looker reporting suite, improving data literacy and self-service analytics across the company Optimize underlying SQL and DBT models to support faster, more efficient reporting Collaborate closely with engineering, operations, and product teams to translate business processes into robust, maintainable data models Serve as the primary technical liaison between the data team and key internal stakeholders, ensuring analytical solutions meet real business needs Communicate ideas and solutions through clear, concise writing and presentations Help influence the culture, values, and processes of a growing data team Enjoy and have fun being creative and thinking outside of the box. You will need to draw on analogous situations you’ve worked on before, but we are not traversing well-traveled roads. “Where we’re going, we don’t need roads!” Requirements 6–8 years of experience as an individual contributor in analytics, with 5+ years of deep experience building and maintaining Looker models and dashboards Expertise in SQL (e.g., Postgres, BigQuery, Snowflake) and experience using dbt for transforming and modeling data Proven track record of managing and improving large-scale reporting environments, focusing on performance, usability, and governance Strong ability to collaborate and communicate effectively with both technical and non-technical stakeholders Ability to prioritize effectively between must-have and nice-to-have features in a fast-paced environment Have a strong technical skillset but also the willingness and ability to take over tasks outside your core competency Benefits Generous health-insurance package with nationwide coverage, vision, & dental 401(k) retirement plan with employer matching Competitive PTO policy – we want our employees fresh, healthy, happy, and energized! Generous family leave policy Work from anywhere to facilitate your work life balance Apple laptop, large second monitor, and other quality-of-life equipment you may want. Technology is something that should make your life easier, not harder! At Reserv, we value diversity in backgrounds, perspectives, and life experiences and believe that diversity in viewpoints and critical thinking drives innovation, first-principles thinking, and success. We welcome applicants from all backgrounds and encourage those from all walks of life to apply. If you believe you are a good fit for this role, we would love to hear from you!

Base is planning to bring a million developers and a billion users onchain. We need your help to make that happen. The data engineering team develops and maintains robust data pipelines, builds trusted data sources, and creates analytics/data products that inject automation into data science processes, with a goal to empower users via self-serve analytics. What we do: Trusted data sources: Build and maintain a foundational data layer (data marts), that serve as the single source of truth across Coinbase. Reliable data pipelines: Design and implement robust data pipelines, guaranteeing data quality and timely data delivery across our organization. Data science developer tools: Build developer tools that inject automation into data science processes, improving efficiency and productivity. For example, data transformation, data modeling, and data quality tooling. Self-serve analytics products: Deliver tailored data products, designed to empower users with self-serve capabilities and ensure accurate answers to their data inquiries. What you’ll be doing (ie. job duties): Your primary responsibilities will include building tools and products that enhance data science productivity, enable self-serve analytics, and ensure data reliability and quality. This role deals specifically with blockchain data. More specifically: Data modeling: Design data models that support our data scientists in leveraging blockchain data in their analysis. Data transformation and tooling: Build tooling and pipelines for getting blockchain data from APIs, Files, and Databases into a clean and useful format. Data quality tooling: Build mechanisms of data quality measurement and enforcement. Ensure reliability and completeness of data. Scrappy & creative problem solving: Get creative in applying blockchain knowledge to write heuristics and models that answer questions about what is happening on chain. Cross-Functional collaboration: Work alongside fellow data engineers and cross-functional partners from Data Science, Data Platform, Machine Learning, and various analytics teams to ensure alignment on priorities and deliverables. Self-serve analytics: Enable stakeholders to self-serve their own analytics by making blockchain data available and approachable. What we look for in you (ie. job requirements): Blockchain data experience: You should know about blocks, transactions, token transfers, contract calls, account and UTXO models and labeling etc. Deep understanding of blockchains is a must. You will likely have used tools like Dune and Arkham before. Python: Must be adept at coding in Python. Go is a plus. Major experience with one or more modern languages is essential, particularly for data oriented tasks. SQL: Must have expert SQL experience for querying, transformation, and performance optimization. Experience with other types of DBs like graph databases and key-value stores is a plus. Data Compute Frameworks: Experience with data compute frameworks such as Spark, Flink, Beam etc. are a plus. ETL/ELT Processes: Experience in designing, building, and optimizing ETL/ELT data pipelines to process large datasets. Experience with both batch and streaming is a plus. Apache Airflow: Experience in building, deploying, and optimizing DAGs in Airflow or a similar pipeline orchestration tool. Data Visualization: Experience with tools like Superset, Hex, Looker, or Python visualization libraries (Matplotlib, Seaborn, Plotly…etc) Data Modeling: Understanding of best practices for data modeling, including star schemas, snowflake schemas, and data normalization techniques. Experience with modeling for blockchain data or financial data is a plus. Collaboration and Communication: Ability to work closely with data scientists, analysts, and other stakeholders to translate business requirements into technical solutions. Strong documentation skills for pipeline design and data flow diagrams. Fundamental DevOps Practices: Knowledge of unit testing, CI/CD, and git repository management, Docker, kubernetes etc. Prompt Engineering for LLMs: Expertise in leveraging LLMs and AI tools in your workflow, knowing where and how to apply them. Work with embeddings and vector search is a plus. G2754 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $207,000 — $244,000 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and the Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here) . Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations@coinbase.com .

With 1,000 intelligence professionals, over $300M in sales, and serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! Engineering Manager, Dark Web:  Recorded Future collects intelligence from many sources on the Dark Web. This data collection includes terabytes of data dumps that are shared and trafficked in the underground, nefarious dark web forums, markets for stolen goods, and ransomware sites. The Dark Web team builds the data collection and analytics that transform this mass of raw data from these diverse sources into structured intelligence that our customers use to defend their people and networks.  The Engineering Manager, Dark Web is responsible for coordinating the work of the engineers who produce a constant stream of fresh, high-fidelity analytics derived from unreliable dark web and underground data sources that enable clients to track threat actors and take security actions. Your leadership will directly impact the success of the Dark Web team’s mission: to secure the world with intelligence by casting a light upon the dark web. What You'll Do:  Deliver customer value by producing data and analytics that summarize  information from the Dark Web and drive the alerting that our customers directly consume. Lead, mentor, and develop a diverse team of six engineers focused on Dark Web data collection and analysis, fostering a culture of collaboration and continuous improvement. Coordinate and oversee the development and maintenance of web harvesting and data processing applications and pipelines, ensuring they meet organizational and client needs. Partner with the Product Manager, Dark Web to manage project timelines and deliverables in an often high-pressure context, maintaining focus on both short-term objectives and long-term strategic goals. Collaborate closely with cross-functional teams, including cybersecurity researchers and other engineering units, to refine intelligence analytics and enhance product offerings. Address and resolve elevated client escalations with a focus on maintaining relationships while delivering prompt and effective solutions. A solid understanding of cybersecurity, along with an interest in analyzing dark web activities related to computer and network security. What You'll Bring:  Significant experience in engineering management or leadership roles, particularly within data engineering or analytics teams, demonstrating a track record of success in high-pressure environments. Strong capability in managing and guiding remote or hybrid teams, utilizing effective communication and collaboration tools to maintain team cohesion and productivity. Understanding of Python, relevant database technologies and fundamental programming and data engineering concepts Exceptional organizational skills, capable of turning complex requirements into actionable project plans and fostering incremental delivery within a software development framework. Excellent communication skills, adept at conveying complex technical concepts in a clear and concise manner through various channels including emails, Slack, and in-person discussions. Why should you join Recorded Future? Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.8-star user rating from Gartner and more than 45 of the Fortune 100 companies as clients. Want more info?   Blog & Podcast : Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence Linkedin , Instagram  &  Twitter : What’s happening at Recorded Future The Record : The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline : History of Recorded Future Recognition : Check out our awards and announcements We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles.  By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com   Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law. Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions. Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.

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 160 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 Data Analytics 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 $129,200.00 - $213,200.00 Target Openings 1 What Is the Opportunity? At Travelers, we create trusted strategic products and services to unlock the power of our data. We enhance and measure our ability to access, govern, manage, connect and integrate internal and external data assets and ensure our employees understand the value of data and the impacts to our business. As a Senior Director, Data Management – Data Operations you will be responsible for ensuring strategic product and market-driven initiatives are met, while driving the evolution of our legacy data applications to ensure sustainability and work towards solutions balancing current production objectives with our strategic transformation goals. The position will have direct reports and requires advanced leadership skills to develop team members, influence emerging trends, and stakeholders to accomplish key business objectives. What Will You Do? Manage data availability, usability, integrity, security, and privacy. Align resources for ongoing projects and initiatives, in context of current and future staffing needs Collaborate with partners to design and implement solutions balancing strategic and operational objectives. Articulate guiding principles aligned with strategic vision. Create decision making and solution framework to enable scaling expertise and skills to better support initiatives with work spanning across legacy production and emerging strategic data and analytics environments. Design processes to capture and maintain information relevance. Coach team members on analytics, data and requirements elicitation, solution design, and work management techniques and best practices Foster an innovative, inclusive team environment. Perform other duties as assigned. What Will Our Ideal Candidate Have? Understanding of emerging trends and technologies in data management Experience designing, building, delivery complex data applications and operational support and maintenance of regulated, financial data, processes and controls Strong communication skills for consulting and influencing at all levels. Collaborative mindset for effective teamwork and stakeholder engagement. Customer-focused problem-solving approach. Excellent communication and influencing abilities. Experience with a Property & Casualty Carrier. What is a Must Have? Bachelor’s degree or six years of relevant data and analytics, and/or data management 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/ .