Innovation & Technology Internship - Software Engineering: Data & Intelligence Summer 2027 Undergrad

CVS Health•New York, NY

3d•Hybrid

About The Position

The Innovation & Technology Software Engineering – Data & Intelligence Internship is a 10.5-week, full-time opportunity running from May 24, 2027, through August 4, 2027. It is a hybrid position based in New York, NY, with three in-office days per week, generally Tuesday through Thursday, and two days that may be worked remotely. Relocation assistance is available for candidates who need to relocate more than 50 miles. As a Software Engineering intern, you will work alongside experienced software engineers, data engineers, and product partners to build software that brings data and AI into real-world applications. You will develop APIs and backend services, connect applications with enterprise data, and help deliver AI-enabled solutions in the cloud. The work supports CVS Health's Analytics & Behavior Change team, which applies advanced analytics, machine learning, behavioral science, and AI to health care and business challenges. The internship includes business projects, community service, professional development workshops, mentorship and networking opportunities, and interaction with senior leaders. Innovation & Technology interns also participate in a Leadership Insight Series, an Intern Innovation Challenge, and learning experiences on presentations and storytelling, emerging technology, and AI tools. The pay rate is $42 per hour for a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday. Relocation assistance is provided when applicable. Work visa sponsorship is not available, including for CPT, OPT, or F-1 Visa programs.

Requirements

Meet the educational requirements outlined in the Education section.
Experience using Python to build software applications.
Hands-on development of REST APIs, microservices, or backend services.
Experience using SQL or relational databases to query and manage data.
Experience building solutions that use LLM or Generative AI technologies.
Exposure to cloud platforms such as GCP, AWS, or Azure.
Currently pursuing a bachelor's degree with an expected graduation date between December 2027 and June 2028.

Nice To Haves

Preferred fields of study include Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical field.
Familiarity with Git, Docker, and CI/CD pipelines for building and deploying applications.
Experience with Java or JavaScript frameworks, such as Spring Boot, Node.js, React, or Angular.
Familiarity with building data pipelines or integrating data from multiple sources.
Experience using AI coding assistants and agentic developer tools.
Strong problem-solving and critical-thinking skills applied to complex or open-ended engineering problems.
Ability to clearly explain technical concepts and their implications to technical and non-technical audiences.

Responsibilities

Design, build, and test applications, APIs, and microservices.
Develop data integrations and services that connect applications with enterprise data.
Contribute to AI and Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG), and automation.
Deploy and troubleshoot cloud-native solutions using practices such as code reviews, automated testing, and CI/CD.
Contribute to solutions that improve health care quality, affordability, and outcomes.