Manager, Data Engineering

Data Engineer

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

Oversight and responsibility for designing, building, and maintaining scalable data pipelines and architectures that enable reliable data access, analytics, and reporting. This role partners closely with analytics, data science, product, and business teams to ensure high-quality, well-structured data is available for decision-making and operational needs.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes
• Develop and optimize data models, data warehouses, and data lakes by working with stakeholders to understand their requirements and translate them into scalable and efficient data engineering solutions
• Build, optimize, and deploy forecasting models using time-series modeling, machine learning, and MLOps practices
• Apply advanced modeling and statistical analysis to Healthcare Quality metrics spanning NCQA HEDIS measures and CMS Clinical Stars
• Apply advanced statistical, machine learning, and deep learning methods (e.g., ARIMA, Prophet, gradient boosting, etc.)
• Performs code reviews and enforces coding standards, based on company and industry requirements, across the development teams
• Ensure data reliability, accuracy, performance, and availability across systems
• Integrate data from multiple sources including internal systems, APIs, and third-party vendors
• Implement data quality checks, monitoring, and error-handling processes
• Collaborate with analytics, BI, and data science teams to support reporting and advanced analytics
• Optimize query performance and storage efficiency
• Document data pipelines, schemas, and engineering standards
• Support data governance, security, and compliance requirements
• Troubleshoot and resolve data pipeline and system issues

Required Qualifications

• 3+ years of experience as a Data Engineer or in a similar data-focused role or equivalent experience
• Strong experience with SQL and relational databases
• Experience building ETL/ELT pipelines and working with large datasets
• Familiarity with data warehousing concepts and dimensional modeling
• Proficiency in at least one programming language (Python, Java, or Scala)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Adept at execution and delivery (planning, delivering, and supporting) skills
• Adept at business intelligence
• Adept at problem solving and decision-making skills
• Adept at collaboration and teamwork
• Adept at growth mindset (agility and developing yourself and others) skills

Preferred Qualifications

• Experience working within Healthcare Quality Management
• Experience with NCQA HEDIS and other quality metrics
• Hands-on experience with BI tools (Power BI, Tableau, Looker)
• Exposure to data governance, metadata management, and security best practices

Education

• Bachelor's degree in Computer Science, Engineering, Information Systems, Statistics, Mathematics, Data Analytics, or related STEM field. Master's degree preferred. Equivalent work experience.

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.

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.