Innovation & Technology Internship – Data Engineering – Summer 2027 (Undergraduate)
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 New York, NY, 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.
Internship Experience
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
Pay Details
The hourly rate is $42.00/hr, based on a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday. The typical pay range for this role is $42.00 - $42.00 per hour. 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.
Focus Areas
- 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
Role Overview
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.
Opportunities
- 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