Lead Data Engineer - Careers

At Fan Duel Group, 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 Fan Duel? 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, Fan Duel offers a wide range of career opportunities, best in class benefits, and the tools to explore and grow into your best selves.

At Fan Duel, 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.

We are seeking aStaff Data Engineerto 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.

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

Architect High-Impact Data Systems

• Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
• Define standards for data modeling, data product design, and pipeline orchestration using modern tools and cloud-native technologies
• Collaborate with cross-functional stakeholders to translate business and analytical requirements into end-to-end data solutions
• Establish and enforce engineering best practices around code quality, testing, documentation, and deployment
• Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient
• Lead technical design and code reviews, mentoring peers and raising the bar for engineering excellence

Lead Strategic Initiatives

• Partner with data platform teams, analytics, and data science to deliver reusable data assets and shared infrastructure
• Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance
• Drive initiatives that improve data quality, lineage, observability, and system reliability

Influence and Collaborate Across Teams

• Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy
• Provide technical leadership and guidance to other data engineers and contribute to the team’s overall growth and maturity
• Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient

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 Kafka, Spark, Databricks, dbt, Airflow, and cloud-native services (AWS, GCP, or Azure).
• Deep understanding of streaming architectures, distributed systems, ETL/ELT pipelines, and data modeling.
• Proficiency at least one object-oriented programming language (e.g., Python, Java, Scala) and SQL
• 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…