About the position
FanDuel Group is the premier mobile gaming company in the United States and Canada. 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, Canada, and Puerto Rico. The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in 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).
Responsibilities
- Build & Maintain Data Pipelines: Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
- Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered in a timely manner.
- Collaborate Across Teams: Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions.
- Translate business questions into engineering tasks and contribute to technical planning.
- Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
- Data Quality & Operations: Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
- Implement data quality checks and contribute to observability and testing practices.
- Document data sources, transformations, and architecture decisions to support long-term maintainability.
Requirements
- 2–4 years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
- Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
- Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
- Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
- Experience working with cloud-based data platforms (AWS, GCP, or Azure).
Nice-to-haves
- Experience supporting BI, analytics, or data science teams.
- Familiarity with version control, CI/CD, and collaborative development workflows.
- Exposure to data governance, privacy, or compliance practices.
- Eagerness to learn new technologies and contribute to the growth of the team.
Benefits
- Array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits.
- Generous paid time off (PTO & sick leave).
- Annual bonus and long-term incentive opportunities (based on performance).
- 401k with up to a 5% match.
- Commuter benefits.
- Pet insurance.
- Paid personal time off and 14 paid company holidays.
- Paid sick time in accordance with all applicable state and federal laws.
