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FanDuel // one-day fantasy sports
Engineering, Full Time    New York    Posted: Wednesday, November 18, 2020
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FanDuel Group is a world-class team of brands & products all built with one goal in mind  to give fans new & innovative ways to interact with their favorite games, sports, teams, & leagues. Thats no easy task, which is why were so dedicated to building a winning team. And make no mistake, we are here to win, but we believe in winning right. That means well never compromise when it comes to looking out for our teammates. From our many opportunities for professional development to our generous insurance & paid leave policies, were committed to making sure our employees get as much out of FanDuel as we ask them to give.

FanDuel Group is based in New York, with offices in California, New Jersey, Florida, Oregon & Scotland. Our brands include:

  • FanDuel  A game-changing real-money fantasy sports app
  • FanDuel Sportsbook  Americas #1 sports betting app
  • TVG  The best-in-class horse racing TV/media network & betting platform
  • FanDuel Racing  A horse racing app built for the average sports fan
  • FanDuel Casino & Betfair Casino  Fan-favorite online casino apps
  • FOXBet A world-class betting platform & affiliate of FanDuel Group
  • PokerStars The premier online poker product & affiliate of FanDuel Group

Our competitive edge comes from making decisions based on accurate & timely data. As a Data Engineer, you will help us build scalable systems to provide access to that data across the company. 


Our roster has an opening with your name on it

FanDuel Group is looking for an experienced Data Engineer with deep understanding of large-scale data handling & processing best practices in a cloud environment to help us build scalable systems. As our data is a key component of the business used by almost every facet of the company, including product development, marketing, operations, & finance. It is vital that we deliver robust solutions that ensure reliable access to data with a focus on quality & availability.

Our competitive edge comes from making decisions based on accurate & timely data & your work will provide access to that data across the whole company. Looking ahead to the next phase of our data platform we are keen to do more with real time data processing & working with our data scientists to create machine learning pipelines

Everyone on our team has a part to play

Synthesize common patterns & build effective abstractions across different ML pipelines that accelerate the impact of ML driven insights.

Develop scalable solutions with the focus of productionizing data science team ML model portfolio.

Effectively partner with applied data scientists & lay software foundations upon which models can be built.

Participate in machine learning applications for real world, large scale problems.

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