Data Engineering Graduate Internship - Summer 2026

You’ve invested a lot of time and energy in your education. Now you want the chance to make your mark. We offer challenging opportunities for you to learn and grow professionally. In our programs, you’ll be immersed in a culture of continuous improvement, with the goal of changing health care for the better.

Position Summary :

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose : Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand- with heart at its center- our purpose sends a personal message that how we deliver our services is just as important as what we deliver.

As a CVS Health Corporate Intern you will participate in :

• Projects that contribute to the success of our business
• Community service activities
• Professional development workshops
• Mentorship and networking opportunities
• Interaction with senior leaders

The Data Engineering Graduate internship experience is an 10.5 weeks full-time opportunity that starts on May 27th, 2026, and concludes on August 7th, 2026.

This is a hybrid position with 3 days (generally Tuesday, Wednesday, and Thursday) in the New York, NY; Hartford, CT; Irving, TX or Wellesley, MA office locations. The other 2 days each week may be worked remotely from home, another location, or you’re welcome to be in the office on those days as well.

The hourly rate is $55 / hr with 40 hours / week, no work on July 4th (company holiday), and two days of paid leave. Additionally, our corporate interns have an increased likelihood to receive an offer for a future role with CVS Health.

Sponsorship :

Work visa sponsorship is not available for this role. This includes participation in Curricular Practical Training (CPT), Optional Practical Training (OPT), and F-1 Visa programs.

Relocation :

CVS Health follows a hybrid work model providing office-based colleagues the ability to flex between working in the office and working from home based on the work you need to accomplish. Relocation assistance will be provided for candidates that need to move over 50 miles.

Who we are :

CVS Health’s Analytics & Behavior Change team is an innovation engine driving impact across health care, retail, and pharmacy services. As America’s leading health solutions company, we bring our heart to every moment of your health—and beyond. With one of the largest and most diverse data ecosystems in the nation, we power advanced analytics, machine learning, and real-world solutions. From improving patient outcomes to enhancing customer experiences in our stores, our work enables smarter decisions and meaningful change.

Our focus areas include :

What You’ll Do :

This graduate-level internship offers hands-on experience with advanced data engineering projects, mentorship, and exposure to enterprise-scale analytics. You’ll work on initiatives that require deeper technical expertise and strategic thinking, including :

Required Qualifications :

Experience with : SQL

Python

ETL and building high-volume data pipelines

Cloud platforms such as (GCP preferred)

Internship or professional experience in a related field

Preferred Qualifications :

Education :

Pay Range

The typical pay range for this role is :

$55.00 - $55.00

Whether in our pharmacies or through our health service offerings, we are pioneering a bold new approach to total health care. As health care innovators, we are making quality care affordable, accessible, simple and seamless. We await your fresh ideas, new perspectives, and the unique contributions you will make to our organization.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

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

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex / gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.