Lead Data Steward - VIRTUAL Company: The Boeing Company At Boeing Digital Services, you’ll be a part of a team that creates innovative digital solutions and analytics that drive the future and evolution of Digital Services and enable our customers to transform the way they do business. Using agile digital technology, our solutions optimize all aspects of the aircraft operations and maintenance ecosystem including safety, environmental sustainability, and efficiency. Boeing Digital Services is seeking Lead Data Steward, reporting to the Software Development Manager. The Lead Data Steward will be responsible for delivery of cutting-edge aviation data analytics products. As part of an integrated product team the Lead Data Steward will be part of technical team taking responsibility for Data Analysis, Data Maintenance and Data product development. This role will work with portfolio leadership, development teams and stakeholders to establish and drive the implementation, technical strategies and roadmaps for the success of each product and initiative. This position has been identified as a virtual opportunity and will not require the selected candidate to relocate. Position Responsibilities: - Lead stewardship for Aviation Operations data domains (flight telemetry, flight plans, maintenance, sensors, logs), owning data product roadmaps and delivery. - Define and enforce data product contracts: schema, semantics, SLAs, lineage, ownership, quality rules, and access policies. - Define and validate end-to-end data flows on Azure Databricks (ingest → transform → publish) to meet Machine Learning (ML) and Business Intelligence (BI) requirements. - Establish and operationalize a data quality framework and monitoring (completeness, accuracy, timeliness, schema drift) using tools and automated tests. - Drive metadata and catalog governance (business glossary, tags, descriptions, sample queries, contact points) and champion adoption of Unity Catalog or equivalent. - Lead change management for schema and feature changes, ensuring reproducibility and minimizing downstream impact to ML/BI assets. - Mentor and coordinate cross-functional teams (Data Engineers, Data Scientists, Product Owners, Ops SMEs) to deliver and maintain data products. - Oversee data access management and Role Based Access Control (RBAC), ensuring compliance with aviation security, privacy, and regulatory requirements. - Define runbooks, incident response procedures, and operational KPIs for data product health and reliability. - Act as the primary liaison for stakeholders, prioritizing enhancements, and resolving production escalations quickly. - Promote continuous improvement through data profiling, harmonization, enrichment, and automation of manual data tasks. Basic Qualifications (Required Skills/Experience): - 8+ years’ of experience in data stewardship, data governance, data engineering, or related roles - 2+ years’ in a senior/lead capacity - 2+ years’ experience implementing strategy related to data quality tooling and pipelines Preferred Qualifications (Desired Skills/Experience): - Prior experience in aviation/flight operations, or working with time-series, telemetry, and sensor datasets - Familiarity with ML feature stores, MLOps practices, and ensuring feature lineage and reproducibility - Familiarization with Azure Databricks and Delta Lake, including designing transformative jobs, clusters, and job orchestration - Familiarization of Bronze/Silver/Gold layering and best practices for feature readiness and ML use cases - Understanding of RBAC/IAM on Cloud and managing secure data access in enterprise environments - Understanding of cloud ecosystem: Storage, Monitoring and Deployment - Understanding of Data distribution ecosystem like Databricks - Experience with metadata/catalog tools (preferably Unity Catalog or Alation) - Understanding of CI/CD for data pipelines, Git-based workflows, and infrastructure-as-code patterns - Excellent stakeholder management, written and verbal communication skills, and ability to translate business needs to technical requirements - Bachelor’s degree in Computer Science, Data Science, Engineering, Aviation, or related field or equivalent experience 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. Pay & Benefits: 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 a number of 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: $138,550 - $215,050 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This is not an Export Control position. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. 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)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. ​Position Summary We're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities: - Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. - Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. - Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. - Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. - Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. - Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. - Design and architect data infrastructure analytical workloads. Required Qualifications - 5+ years of applicable work experience - Proficiency in Python, specifically with ETL pipelines. - Strong proficiency in SQL and experience in developing complex queries. - Familiarity with pySpark, DBT, or other similar frameworks. - Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). - Understanding of data warehousing concepts, dimensional modeling, and building data marts. - Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred Qualifications - Knowledge of data governance best practices in a cloud environment. - Experience with data design in BigQuery - Experience working with the Epic data model. - Experience working with healthcare data (Claims and Admissions) Education and Experience - College degree or certification in related fields Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/17/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are: - Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. - Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. - Data Quality & Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access. - Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. - Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models - Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Required Qualifications - 2+ years of applicable work experience - Proficiency in Python, specifically with ETL pipelines - Strong proficiency in SQL and experience in developing complex queries - Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) - Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred Qualifications - Experience working with healthcare data, especially Epic. - Experience using GCP’s BigQuery - Knowledge of data governance best practices in a cloud environment. - Experience working with Machine Learning processes. Education College degree or certification in related fields Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 04/17/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Collaborate with business users to understand analytics requirements. • Implement data-driven solutions for the tenant accounts. • Leverage strong data enablement and infrastructure creation skills to support analysis use cases. • Develop and maintain data pipelines and jobs for tenant accounts. • Utilize expertise in AWS data services to optimize data processes. • Provision and configure new tenant AWS accounts. • Administer shared resources within the administrative account. • Provide account support to ensure seamless operations.