Data Engineering Manager

ABOUT FANDUEL

Fan Duel Group is the premier mobile gaming company in the United States and Canada. Fan Duel Group consists of a portfolio of leading brands across mobile wagering including:
America’s #1 Sports book, Fan Duel Sports book; its leading iGaming platform, Fan Duel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, Fan Duel Racing; and its daily fantasy sports product.

In addition, Fan Duel Group operates Fan Duel TV, its broadly distributed linear cable television network and Fan Duel TV+, its leading direct-to-consumer OTT platform. Fan Duel 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.

Fan Duel 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).

Our roster has an opening with your name on it

We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.

This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.

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

Team Management & Growth

• Lead a team of data engineers through coaching, mentorship, and technical guidance
• Support individual career development and performance feedback, creating growth opportunities for your team
• Foster a collaborative, inclusive, and high-performance team culture

Technical Oversight & Delivery

• Guide the design and implementation of scalable data pipelines, platforms, and data products
• Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed
• Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices

Cross-Functional Collaboration

• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work
• Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects
• Communicate clearly across technical and non-technical teams to align on priorities and progress

Operational Excellence

• Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response
• Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams
• Drive continuous improvement in development workflows and team productivity

THE STATS

What we're looking for in our next teammate

• 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
• Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
• Proficiency in SQL and one or more programming languages (e.g., Python, Scala, or Java).
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Strong communication and collaboration skills with a passion for working across teams.

Preferred Skills

• Prior experience in a people management or tech lead role within a data engineering or analytics team
• Familiarity with machine learning workflows, data observability, and streaming architectures
• Experience working in a product-driven, customer-focused organization
• Understanding of data privacy, security, and…