RippleMatch Opportunities-posted about 20 hours ago
Intern
Hybrid • Atlanta, GA
101-250 employees

Data drives our organization. As a Data Engineer Intern at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data, provide our business with insight, and delight our customers with a world-class personalized experience. You will help us turn every click our users make, every bet, every touchdown, every fumble, and every play into a real-time stream of knowledge allowing us to make better and faster decisions – outplaying our competition. As a FanDuel Data Engineering intern, you will work alongside teams of experienced data engineers to feed data to our online applications, data scientists mining our data and training our models, and our analysts who make our data mean something. You will help us organize, model, and present our data as a coherent product and offer it to the business, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace. We are looking for talented students with a passion for data and the technical chops to put it to work!

  • Must be planning for program or degree completion between August 2026 – June 2028
  • Must be pursuing studies in a field related to data engineering, data analytics, engineering, computer science,management of information systems, or another comparable discipline
  • Must have U.S. Work Authorization and does not require employer sponsorship now or in the future
  • Must be within a commutable distance from the office or willing to relocate to designated office
  • Must be willing to be in office 2+ times per week
  • Experience with computer programming languages like: Python, SQL
  • Specialization/minor in data analytics or engineering
  • Prior classroom or workplace experience in data engineering or even with business curriculum like accounting/risk/
  • Ability to communicate technical concepts simply, to both technical and non-technical audiences
  • Experience working well in a team-oriented environment
  • Familiarity with programming languages like: Spark
  • Prior experience working in a heavily regulated environment (company or industry)
  • Experience with data streaming – real time processing of data (to convert or transform it)
  • You're excited and eager to learn new technologies and techniques
  • Meaningful opportunity to contribute to the work of our teams
  • Cohort experience with social events & professional development opportunities
  • Possibility to be considered for a full-time opportunity or return internship
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