Data Engineer

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Full Time Technical White Plains, NY, US

3 days ago Requisition

Salary Range: $ To $ Annually

Reports to:

VP, Data & Business Intelligence

Location:

White Plains, NY (Hybrid)

The United Football League (UFL) is the premier professional spring football league, powered by the visionary leadership and investment of Mike Repole and Impact Capital, Red Bird Capital Partners, FOX, Dany Garcia, Dwayne Johnson, and ESPN. Built on innovation, accessibility, and competitive excellence, the UFL delivers a dynamic professional football experience for players, fans, and partners alike. The league currently features eight teams and is focused on building the next era of spring football, with expansion planned for 2028 and beyond.

The Data Engineer will play a foundational role in the UFL's data ecosystem. The first dedicated engineering hire on the Data & Business Intelligence team, responsible for owning and evolving the pipelines, warehouse, and data models that power Sales, Sponsor ships, Marketing, and Football Operations.

As our first in-house engineer, you'll take ownership of an established modern data platform built on Fivetran, dbt, and Big Query, while leading its evolution as the league grows. You’ll be responsible for configuring and improving the data & insights that drive every decision. The Data Engineer will establish the engineering practices a growing data function will depend on. You'll partner closely with the broader Data & BI team to keep data flowing reliably across the business and to extend the well-structured, trusted datasets the whole organization works from.

This foundation is the groundwork for advanced analytics, reporting, and future machine learning.

This role requires technical depth and sound judgment on architecture decisions, paired with the ability to translate for non-technical partners across the business. The ideal candidate thrives in a collaborative, early-stage environment, is meticulous about data quality, and is motivated by building durable solutions that drive real business value.

• Take ownership of the UFL's existing data platform. Review, understand, and support the current pipelines and warehouse (Fivetran, dbt, Big Query, Cloud Run) originally stood up with an external partner, and serve as the in-house owner accountable for their reliability and evolution
• Operate and maintain core data flows.
• Monitor the ETL/ELT and reverse-ETL pipelines that move data from source systems (ticketing, digital media, CRM, sales intelligence) into Big Query and back out to operational tools, troubleshooting ingestion, transformation, and delivery issues, including during high-volume periods of the season
• Evaluate existing architecture, identify gaps and opportunities, and drive adjustments that improve reliability, cost, and performance as the league's needs grow
• Own the data side of platform migrations. Lead data mapping, movement, and validation for source-system changes, including an upcoming CRM migration that touches ingestion, reverse ETL, and reporting
• Extend trusted, well-modeled datasets. Build on and maintain the dbt models in Big Query that serve as the single source of truth the analytics and CRM functions rely on
• Safeguard data quality. Maintain accuracy and trust through validation, deduplication, and classification
• Partner with Sales, Sponsor ships, Marketing, Finance and Football Operations to translate needs into reliable data solutions
• Establish in-house data engineering standards. As the first internal data engineer, define the documentation, version-control, and testing practices needed to bring the platform fully in-house and scale it
• Work within the team’s development practices (standups, backlog grooming, sprint planning and retrospectives) and set the standard for the engineering voice in the room, keeping engineering work visible, scoped and prioritized alongside analytics and CRM

• Bachelor's degree in Computer Science, Information Systems, or a related…