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CVS Health

Data Engineer

Posted 2 Days Ago
In-Office or Remote
4 Locations
65K-173K Annually
Mid level
In-Office or Remote
4 Locations
65K-173K Annually
Mid level
Design, integrate, and implement on‑prem and cloud data warehousing solutions. Process payer files into the data warehouse, write SQL/Python/PySpark code, perform dimensional modeling, troubleshoot data issues, improve performance, and collaborate with engineers, analysts, data scientists, and product teams.
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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
 

The Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. You will be instrumental in designing, integrating, and implementing solutions on-premise as well supporting migrations of existing workloads to the cloud. The Senior Data Engineer is expected to have extensive knowledge of modern programming languages, designing and developing data solutions.

The position is open in a data engineering team that is responsible for processing payer files into our Data Warehouse.

Required Qualifications

  • 4+ years of experience working with SQL and relational database management systems
  • 2+ years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc.
  • 2+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc.
  • Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.
  • Hands-on experience with dimensional data modeling, schema design, and data warehousing
  • Hands-on experience with troubleshooting data issues
  • Hands-on experience with various performance improvement techniques
  • Willingness to identify and implement process improvements, and best practices as well as ability to take ownership to work within a fast-paced, collaborative, and team-based support environment
  • Excellent oral and written communication skills

Preferred Qualifications

·       Familiarity with healthcare data and healthcare insurance feeds is a plus

Education

·       Bachelor's degree in Computer Science / Engineering

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: 09/30/2026

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

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