Innovation & Technology Internship – Data Engineering (Summer 2027)

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: The Innovation & Technology - Data Engineering Internship is a 10.

5-week full-time opportunity that begins on May 24th, 2027, and concludes on August 4th, 2027. This is a hybrid position based in Irving, TX, with three in-office days per week, generally Tuesday, Wednesday, and Thursday.

The remaining two days may be worked remotely from home or another location of your choice. CVS Health follows a hybrid work model that provides office-based colleagues flexibility between working in the office and remotely based on the work they need to accomplish.

Relocation assistance will be provided for candidates who need to relocate more than 50 miles. 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 Your Innovation & Technology internship experience will also include: • Leadership Insight Series, featuring leader spotlights and interactive Q&A sessions • Intern Innovation Challenge, providing opportunities to collaborate with fellow interns across Innovation & Technology • Additional learning experiences focused on topics such as impactful presentations and storytelling, emerging technology, and AI tools The hourly rate is $35/hr, based on a 40-hour workweek.

The internship includes two days of paid leave and no work on the July 4 company holiday.  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.

About this business area : CVS Health's Analytics & Behavior Change (A&BC) team is an innovation engine that helps turn data into better decisions, experiences, and outcomes.

Leveraging one of the nation's largest and most diverse health care data ecosystems, our teams apply advanced analytics, machine learning, behavioral science, and AI to solve complex business and health care challenges.

From improving patient outcomes and advancing health equity to enhancing digital experiences and driving enterprise value, A&BC's work helps shape the future of health care.

Our focus areas include: • Personalized Consumer Experiences & Behavior Change • Digital Health & Omnichannel Journeys • Provider Performance & Network Optimization • Patient Safety & Clinical Insights • Enterprise Cost Management & Value Creation • Care Management & Health Equity • Fraud, Waste, and Abuse Prevention As a Data Engineering intern, you'll build the data foundations that power analytics, machine learning, and AI across the business.

Working alongside experienced data engineers, data scientists, and business partners, you'll develop data pipelines, integrate data from multiple sources, and help ensure large-scale health care data is reliable and ready for use.

You'll have opportunities to : • Build, test, and maintain data pipelines that extract, transform, and load data • Integrate structured and unstructured data from multiple sources and systems • Implement data quality checks to ensure data is accurate, complete, and consistent • Develop and deploy data solutions in cloud environments • Contribute to solutions that improve health care quality, affordability, and outcomes Required Qualifications: • Meet the educational requirements outlined in the Education section • Experience using Python to process, transform, and automate data workflows • Experience using SQL to query and analyze data • Exposure to cloud platforms, such as GCP, AWS, or Azure Preferred Qualifications: • Knowledge of data warehousing and ETL concepts, including data pipelines and transformation • Experience building data engineering solutions in cloud environments, preferably GCP • Familiarity with Git, CI/CD pipelines, and Bash/UNIX scripting • Experience integrating data from APIs and disparate sources using multiple tools and languages • Strong problem-solving and critical-thinking skills applied to complex data and engineering problems • Ability to clearly explain technical concepts and their implications to both technical and non-technical audiences Education: • Currently pursuing a Bachelor's degree with an expected graduation date between December 2027 and June 2028 • Preferred fields of study include Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field Pay Range The typical pay range for this role is: $35.

00 - $38.50 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. 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 part‑time position is eligible for a range of benefits and programs that support the physical, emotional, and financial well‑being of colleagues.

Depending on hours worked and eligibility, the benefits for this position include dental, vision, wellness resources, employee discounts, access to certain voluntary benefits, and other programs.

Additional details about available benefits are provided during the application process and on Benefits Moments . 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.