Data Engineer - Analytics

Position Summary

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.

Candidates located in the Buffalo Grove, IL area highly preferred

• 1+ years of experience programming using languages like R, Python and SQL
• 1+ years of experience in cloud technologies – Azure, GCP or AWS

• Strong problem solving skills
• Experience working with end users/business stakeholders
• Experience working in agile/scrum teams
• Track record of delivering results

Bachelor's Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field; or Advanced Degree. Preferred:
Master's Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, or related field.

40

Full time

The typical pay range for this role is: $72,100.00 - $. 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.

• 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

We anticipate the application window for this opening will close on: 03/31/2026

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