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.
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, intern innovation challenge, and additional learning experiences focused on topics such as impactful presentations and storytelling, emerging technology, and AI tools.
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, deploy and troubleshoot cloud-native solutions, and contribute to solutions that improve health care quality, affordability, and outcomes.
The hourly rate is $42, based on a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday.
Required qualifications include 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, and exposure to cloud platforms.
Preferred qualifications include familiarity with Git, Docker, and CI/CD pipelines, experience with Java or JavaScript frameworks, 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, and ability to clearly explain technical concepts.
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