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
- Assists in the development of large-scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs.
- Applies understanding of key business drivers to accomplish own work. Uses expertise, judgment, and precedents to contribute to the resolution of moderately complex problems.
- Leads portions of initiatives of limited scope, with guidance and direction. Writes ETL (Extract / Transform / Load) processes, designs database systems, and develops tools for real-time and offline analytic processing.
- Collaborates with cross-functional teams to transform data and integrate algorithms and models into automated processes.
- Uses knowledge of cloud data platforms and experience designing and optimizing SQL queries to build data pipelines.
- Uses programming skills in Python and SQL to build robust data pipelines and scalable systems.
- Builds data marts and data models to support internal customers and downstream applications.
- Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
Required Qualifications
- 1+ years of experience in a data engineering, analytics engineering, or related role
- Experience writing SQL for data transformation and analysis
- Experience with Python for data processing or pipeline development
- Exposure to at least one cloud platform (GCP, AWS, or Azure)
- Experience with version control using Git
Preferred Qualifications
- Familiarity with Google Cloud Platform services (BigQuery, Cloud Composer, Cloud Storage, Spanner)
- Familiarity with workflow orchestration tools such as Apache Airflow
- Ability to troubleshoot data quality issues and communicate findings clearly
- Strong attention to detail and ability to work independently on well-scoped tasks
- Curiosity about healthcare data and willingness to learn domain-specific concepts
- Comfort working in an Agile/Scrum team environment
- Effective written and verbal communication skills
EducationBachelor's degree or equivalent work experience in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or related discipline.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$72,100.00 - $144,200.00
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: 06/29/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
