Senior Staff Data Engineer

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 looking for a Senior Staff Data Engineer to play a foundational role in designing and building the next generation of our data solutions. This is a highly impactful individual contributor role that blends deep technical expertise with strategic influence. You will architect scalable data platforms and pipelines, develop reusable data products, and partner with cross-functional teams to solve complex, data-driven problems.

The ideal candidate is a seasoned data engineer who thrives in a fast-paced environment, thinks in terms of systems and patterns, and leads by example through code, design, and technical thought leadership.

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 GAME PLAN
Everyone on our team has a part to play

Architect & Build Scalable Data Solutions

• Design and implement robust, scalable, and maintainable data pipelines and platform components using modern data stack tools and cloud infrastructure
• Define and enforce architectural standards, data modeling best practices, and data quality frameworks
• Drive the development of reusable, modular data products that serve multiple analytical and operational use cases

Technical Leadership

• Serve as a technical mentor and role model for other engineers, providing guidance on system design, performance optimization, and best practices
• Lead design reviews, contribute to critical design and architecture decisions, and set coding standards across the team
• Collaborate closely with data science, analytics, product, and business teams to understand requirements and translate them into technical solutions

Innovation & Strategic Impact

• Identify gaps and opportunities in the existing data platform and propose scalable improvements that drive business value
• Stay ahead of emerging technologies and help the team evaluate and adopt the right tools for our evolving needs
• Advocate for customer-centric design in data solutions, ensuring we’re solving the right problems with the right abstractions

Operational Excellence

• Lead efforts in observability, monitoring, and reliability for our data pipelines and infrastructure
• Contribute to initiatives that improve developer velocity, reduce technical debt, and ensure platform sustainability
• Collaborate with the data governance team to uphold standards around data security, privacy, and compliance

 

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

• 10+ years of experience in data engineering or software engineering, with a focus on building data platforms and pipelines at scale
• Expertise in modern data technologies (e.g., Spark, Airflow, dbt, Kafka, Fivetran, Databricks) and cloud platforms like AWS, GCP, or Azure.
• Strong command of SQL and at least one programming language (e.g., Python, Scala, Java).
• Deep experience designing data models, data products, and ETL/ELT workflows for large, complex datasets.
• Proven ability to lead technical projects end-to-end, from architecture to implementation and operationalization
• Exceptional communication and col