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Data Engineering Intern

Fingerpaint Group
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Launch your career in pharmaceutical and healthcare marketing with Fingerpaint Group's Paint the Way Program. This unique internship experience is designed to integrate you deeply into our teams, delivering real-world impact. This dynamic program offers rising participants an opportunity to contribute meaningfully to client solutions through hands-on and direct team involvement.

As a Paint the Way intern, you'll collaborate directly with industry experts, gaining invaluable practical knowledge while contributing to active client projects. We believe in empowering our interns; your ideas and unique perspective will be valued as an integral part of the team.

This paid opportunity is open to rising juniors and above, recent graduates, veterans, and those seeking a career change.

  • Duration: 10 weeks, 30 hours per week
  • Schedule: June 10th - August 19th
  • Location: Primarily remote, with occasional travel required to our Cedar Knolls, NJ office for purposeful engagement. Candidates should be within driving distance of the Cedar Knolls, New Jersey Office

Overview of the Data Engineering Internship:

This internship is ideal for someone interested in data infrastructure, analytics, and marketing technology within a healthcare environment.

Primary Responsibilities:

  • Support data ingestion and transformation processes
  • Assist with SQL-based research and querying
  • Contribute to Python-based data workflows
  • Help maintain Terraform configurations and support AWS infrastructure buildout
  • Partner with analytics and marketing technology teams to ensure data accuracy and performance
  • You will gain exposure to end-to-end campaign data, from ingestion through reporting and optimization.

Must-Have Qualifications:

  • Foundational knowledge of computer science concepts
  • Experience writing SQL queries
  • Strong analytical thinking and attention to detail

What We’re Looking For:

  • We are seeking a self-starter who is comfortable digging into unfamiliar systems and learning independently. Curiosity, accountability, and a willingness to problem-solve are critical.
  • Candidates who explore technology outside of coursework, including AI tools or side projects, are encouraged to apply.
  • If you are excited about building the data foundation that drives smarter healthcare marketing, we encourage you to apply.