About The Position

The Innovation & Technology – Data Engineering 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 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 CVS Health Corporate intern, the intern will participate in business projects, community service activities, professional development workshops, mentorship and networking opportunities, and interactions with senior leaders. The Innovation & Technology internship also includes a Leadership Insight Series, an Intern Innovation Challenge, and learning experiences focused on presentations and storytelling, emerging technology, and AI tools. The intern will join the Analytics & Behavior Change team, which applies analytics, machine learning, behavioral science, and AI to health care and business challenges. The intern will work alongside data engineers, data scientists, and business partners to build data foundations that support analytics, machine learning, and AI. Work includes developing data pipelines, integrating data from multiple sources, and helping ensure health care data is reliable and ready for use. The hourly pay rate is $42.00, based on a 40-hour workweek. The internship includes two days of paid leave and no work on the July 4 company holiday. Relocation assistance is available for eligible candidates. Work visa sponsorship is not available, including CPT, OPT, and F-1 Visa participation. The posting also states that the position is part-time and that eligible colleagues may have access to benefits and programs, depending on hours worked and eligibility.

Requirements

  • Currently pursuing a bachelor's degree with an expected graduation date between December 2027 and June 2028.
  • 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.

Nice To Haves

  • Preferred fields of study include Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field.
  • 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 using multiple tools and languages.
  • Strong problem-solving and critical-thinking skills applied to complex data and engineering problems.
  • Ability to clearly explain technical concepts and their implications to technical and non-technical audiences.

Responsibilities

  • 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.
  • Participate in business projects, community service activities, professional development workshops, mentorship and networking opportunities, and interactions with senior leaders.
  • Collaborate with fellow interns across Innovation & Technology through the Intern Innovation Challenge.

Benefits

  • Two days of paid leave.
  • No work on the July 4 company holiday.
  • Relocation assistance for candidates who need to relocate more than 50 miles.
  • Depending on hours worked and eligibility: dental, vision, wellness resources, employee discounts, access to certain voluntary benefits, and other programs.
  • The posting states corporate interns have an increased likelihood of receiving an offer for a future role with CVS Health.
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