Data Engineer

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States. FanDuel Group consists of a portfolio of leading brands across mobile wagering including, America’s #1 Sportsbook FanDuel Sportsbook, its leading iGaming platform FanDuel Casino, the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states and Puerto Rico with approximately 17 million customers and 31 retail locations.

The company is based in New York with offices in Los Angeles, Atlanta and Jersey City, as well as in Canada, Scotland, Ireland, Portugal, Romania and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

THE ROSTER
At FanDuel, we give fans a new and innovative way to interact with their favorite games, sports and teams. We’re dedicated to building a winning team and we pride ourselves on being able to make every moment mean more, especially when it comes to your career. So, what does “winning” look like at FanDuel? It’s recognition for your hard-earned results, a culture that brings out your best work—and a roster full of talented coworkers. Make no mistake, we are here to win, but we believe in winning right. That means we’ll never compromise when it comes to looking out for our teammates. From creatives professionals to cutting edge technology innovators, FanDuel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves. At FanDuel, our principle of “We Are One Team” runs through all our offices across the globe, and you can expect to be a part of an exciting company with many opportunities to grow and be successful.

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for an experienced Data Engineer with a deep understanding of large-scale data handling and 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, and finance. It is vital that we deliver robust solutions that ensure reliable access to data with a focus on quality and availability.

Our competitive edge comes from making decisions based on accurate and timely data and 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 and working with our data scientists to create machine learning pipelines

We're seeking dynamic professionals to join our business-critical Risk and Trading data team at FanDuel, where you'll harness cutting-edge technologies to support risk analysis, pricing models, and trading operations. Collaborate with a broad array of Risk, Trading and Fraud stakeholders and deploy crucial data assets to advance operational and machine learning use cases. 

THE GAME PLAN
Everyone on our team has a part to play

• Creating and maintain optimal data pipelines
• Implementing data pipelines required in the data warehouse and data lake in batch or real-time using data transformation technologies.
• Identifying and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Deploying data models and views with large datasets that meet functional / non-functional business requirements
• Delivering data integration solutions to downstream marketing and campaign software
• Delivering quality production-ready code in an agile environment
• Delivering test plans, monitoring, debugging and technical documents as a part of development cycle
• Creating data tools for analytics and working with stakeholders across all departments to assist with data-related technical issues and supporting their data infrastructure needs
• Adhere to engineering and operational excellence
  
  
  

THE STATS
What we're looking for in our next teammate

• 2-4+ years of experience writing Python, SQL and DBT
• Proficiency in relational databases and data warehouses (Delta Lake knowledge is a plus)
• Show proficiency understanding complex ETL processes
• Understanding of Risk and/or Fraud terminology