At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position Summary
CVS Health is looking for a hands-on, passionate, and driven data engineer with SQL, Python, and Cloud (preferably GCP) experience who wants to join forces with a high impact team making a difference in customers’ lives by reinventing how they connect with the most qualified healthcare providers in their area.
As part of Analytics & Behavior Change, you will be embedded in a data engineering team. You will support other analytic and data science partners who are designing and developing applications/pipelines for CVS Health across various business units. You will brainstorm with product owners, consultants, data scientists and fellow engineers to build products used to improve the health outcomes of millions of people.
Required Qualifications
1+ years' professional experience building data transformation and processing solutions using SQL, Python or similar programming language
• 1+ years' leveraging multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• 1+ years' experience on Teradata tool set, Unix, SQL and ETL
• 1+ years' programming using Python, SQL, and/or shell scripting
Preferred Qualifications
Experience with Google Cloud Platform (GCP) using tools like BigQuery, Cloud Composer, Dataproc and Dataflow.
• Experience building large-scale applications and high-volume data pipelines
• Working knowledge of orchestration tools, such as Apache Airflow
• Ability to understand complex systems and solve challenging analytical problems.
• Excellent problem-solving skills and critical thinking ability
• Strong collaboration and communication skills within and across teams
Education
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Machine Learning, or related discipline
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$61,800.00 - $123,600.00
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 our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 01/13/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
