Senior Data Engineer

We are looking for a Senior Data Engineer to design and build scalable, reliable, and high-quality data solutions that power analytics, machine learning, and business operations. You’ll be a hands-on contributor who plays a key role in shaping the technical foundation of our data ecosystem. As a senior member of the team, you’ll work closely with engineers, analysts, product managers, and data scientists to deliver data pipelines and platforms that drive meaningful business outcomes.

Responsibilities

• Build & Maintain Data Infrastructure
  • Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems
  • Work with large-scale, complex datasets and ensure data is clean, well-modeled, and accessible across the organization
  • Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies
• Deliver High-Quality, Reusable Solutions
  • Build modular, reusable data models and assets using tools like Spark, dbt or similar frameworks
  • Collaborate with stakeholders to understand business needs and translate them into reliable, production-ready data solutions
  • Ensure data quality, accuracy, and consistency through validation frameworks and monitoring
• Contribute to Engineering Excellence
  • Follow and promote software engineering best practices, including testing, version control, documentation, and code reviews
  • Actively participate in technical design discussions and architecture reviews
  • Help evolve our data platform and tooling to improve performance, developer experience, and scalability
• Collaborate & Communicate
  • Partner with data scientists, analysts, and product managers to support data-driven decision-making
  • Clearly communicate technical concepts, project status, and risks to stakeholders
  • Share knowledge and mentor junior engineers through code reviews and collaborative problem-solving

Requirements

• 5+ years of experience in data engineering or software engineering with a focus on building data pipelines and platforms
• Strong SQL skills and fluency in at least one programming language (e.g., Python, Scala, or Java)
• Hands-on experience with modern data tools such as Airflow, Spark, dbt, Kafka, or Databricks
• Deep understanding of data modeling, data warehousing, and best practices for data quality and observability
• Experience with cloud-based data platforms (e.g., AWS, GCP, Azure)
• Strong problem-solving skills and ability to work independently in a fast-paced environment

Preferred Skills

• Experience supporting analytics and machine learning workflows
• Familiarity with data governance, privacy, and compliance frameworks
• Experience working in a product-led or customer-centric organization
• Familiarity with infrastructure-as-code or DevOps practices related to data systems

About the Company

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).

Benefits

• Comprehensive health plans (some as low as $0 per paycheck) including fertility and family planning, mental health support, and fitness benefits
• Generous paid time off (PTO & sick leave) and 14 paid company holidays
• Annual bonus and long-term incentive opportunities (based on performance)
• 401k with up to a 5% match
• Commuter benefits
• Pet insurance

*Benefits differ across location, role, and level.

Pay

The applicable salary range for this position is $138,000 - 181,650 USD, dependent on relevant experience, location, business needs, and market demand. This role may also be eligible for short-term or long-term incentive compensation, including cash bonuses and stock program participation.