About The Position

The Innovation & Technology Software Engineering – Data & Intelligence Internship is a 10.5-week internship running from May 24, 2027, through August 4, 2027. It is a hybrid position based in New York, NY, with three office days per week, generally Tuesday through Thursday, and the option to work remotely on the other two days. Relocation assistance is available to candidates who need to move more than 50 miles. As a software engineering intern, you will work with experienced software engineers, data engineers, and product partners to build software that applies data and AI in real-world applications. The work includes developing APIs and backend services, connecting applications to enterprise data, and helping deliver AI-enabled solutions in the cloud. Projects may involve applications, microservices, data integrations, LLM-powered applications, retrieval-augmented generation, and automation. The internship includes business projects, community service, professional development workshops, mentorship and networking, and interaction with senior leaders. Innovation & Technology programming includes a Leadership Insight Series, an Intern Innovation Challenge, and learning experiences on presentations and storytelling, emerging technology, and AI tools. The role pays $51.60 per hour based on a 40-hour workweek and includes two days of paid leave and no work on the July 4 company holiday. Corporate interns have an increased likelihood of receiving an offer for a future role with CVS Health. The Analytics & Behavior Change team uses health care data, advanced analytics, machine learning, behavioral science, and AI to address business and health care challenges. Its areas of focus include personalized consumer experiences and behavior change; digital health and omnichannel journeys; provider performance and network optimization; patient safety and clinical insights; enterprise cost management and value creation; care management and health equity; and fraud, waste, and abuse prevention. Work visa sponsorship is not available, including participation in CPT, OPT, or F-1 visa programs. The posting also describes the position as part-time in its benefits section, although the internship summary specifies a full-time, 40-hour workweek.

Requirements

  • Currently pursuing a master's degree with an expected graduation date between December 2027 and June 2028.
  • Experience using Python to build software applications.
  • Hands-on development experience with 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 a cloud platform such as GCP, AWS, or Azure.

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, and automation.
  • Deploy and troubleshoot cloud-native solutions using engineering practices such as code reviews, automated testing, and CI/CD.
  • Contribute to solutions that improve health care quality, affordability, and outcomes.

Benefits

  • Relocation assistance for candidates who need to relocate more than 50 miles.
  • Two days of paid leave.
  • No work on the July 4 company holiday.
  • Dental benefits.
  • Vision benefits.
  • Wellness resources.
  • Employee discounts.
  • Access to certain voluntary benefits.
  • Professional development workshops, mentorship and networking opportunities, and interaction with senior leaders.
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