ABOUT FANDUEL

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).

THE POSITION

Our roster has an opening with your name on it
We are seeking a Staff Data Engineer to lead the technical design and implementation of our most critical data infrastructure and products. In this senior-level individual contributor role, you’ll be responsible for designing scalable systems, setting data architecture standards, and solving complex technical challenges that power analytics, data science, and business function use cases across the company.
You will work closely with engineers, product managers, and business stakeholders to architect data solutions that are performant, reliable, and built with a long-term, customer-centric mindset. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE STATS

What we’re looking for in our next teammate

• 8+ years of experience in data engineering or a related field, with a focus on building scalable data systems and platforms.
• Strong expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure)
• Deep understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures
• Proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Demonstrated experience owning complex technical systems end-to-end, from design through production
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience designing data platforms that support analytics, machine learning, and operational workload
• Familiarity with data governance, privacy, and compliance frameworks
• Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS)
• Experience with infrastructure-as-code and data platform observability (e.g., Terraform)