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: 06/05/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.