Description
The Innovation & Technology Software Engineering – Data & Intelligence 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.
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, and 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 $51.60, based on a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday.
As a Software Engineering intern, you'll build software that brings data and AI into real-world applications. Working alongside experienced software engineers, data engineers, and product partners, you'll develop APIs and backend services, connect applications with enterprise data, and help deliver AI-enabled solutions in the cloud.
You'll have opportunities to:
- 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 engineering practices such as code reviews, automated testing, and CI/CD
- 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 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
Preferred Qualifications:
- 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 both technical and non-technical audiences
Education:
- Currently pursuing a Master's degree with an expected graduation date between December 2027 and June 2028
- Preferred fields of study include Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related technical field
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