Data Engineer

The UFL; City of White Plains (NY); Hybrid; USD 125,000 - 155,000; Full time

Job summary

The UFL is seeking a Data Engineer in White Plains to own and evolve its data platform, pipelines, and models. You will work with Fivetran, dbt, and BigQuery, driving reliability and scalability for Sales, Sponsorships, Marketing, and Football Operations.

As the first in-house engineer, your decisions shape the data foundation of the organization. You will collaborate across teams, ensure data quality, and establish engineering standards to scale as the league grows.

Qualifications

• Bachelor's degree or equivalent in CS, IS, or related field.
• 3–5 years of data engineering experience with ownership of production pipelines.
• Ability to read, document, and improve pipelines in an existing data platform.
• Experience with ticketing and revenue-generation platforms (e.g., Ticketmaster/Archtics) and data they produce.
• Strong SQL and Python skills, with production data pipelines experience.
• Experience with Google Cloud Platform, BigQuery, Cloud Run, Cloud Storage, Cloud Scheduler a plus.
• Experience with dbt and Fivetran for transformation and ingestion.
• Version control and collaborative development (Git/Bitbucket).
• Strong data-quality instincts and independent architectural judgment.
• Excellent communication to translate technical concepts for non-technical partners.

Responsibilities

• Own and evolve the data platform, pipelines, and warehouse (Fivetran, dbt, BigQuery).
• Operate and maintain core data flows across the business.
• Monitor ETL/ELT and reverse-ETL pipelines and troubleshoot issues, including peak season.
• Lead architecture improvements for reliability, cost, and performance as needs grow.
• Manage data mapping and validation for CRM migrations and source-system changes.
• Extend and maintain dbt models serving as the single source of truth for analytics and CRM.
• Maintain data quality through validation, deduplication, and classification.
• Collaborate with Sales, Sponsorships, Marketing, Finance and Football Ops to translate needs into data solutions.
• Define in-house data engineering standards, documentation, version-control, and testing practices.
• Participate in sprint rituals and maintain visibility of engineering work.

Skills

SQL

Python

Communication

Data Quality

Git

Education

Bachelor's degree in Computer Science, Information Systems, or related field

Tools

Fivetran

dbt

BigQuery

Cloud Run

Cloud Storage

Cloud Scheduler

Git

Bitbucket

Salesforce

HubSpot

Looker

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Technical White Plains, NY, US

3 days ago Requisition ID: 1334

Salary Range: $125,000.00 To $155,000.00 Annually

Reports to: VP, Data & Business Intelligence

Location: White Plains, NY (Hybrid)

ABOUT THE UFL

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, RedBird 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.

ABOUT THE ROLE

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, Sponsorships, 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 BigQuery, 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.

WHAT YOU WILL DO

• Take ownership of the UFL's existing data platform. Review, understand, and support the current pipelines and warehouse (Fivetran, dbt, BigQuery, 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 BigQuery 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 BigQuery 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, Sponsorships, 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

WHAT YOU WILL BRING

• Bachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and hands-on experience may be considered
• 3–5 years of data engineering experience, including ownership of production pipelines that other teams or systems depend on
• Proven ability to step into an existing data platform - reading, documenting, and improving pipelines and code you didn't originally build
• Hands-on experience with ticketing and revenue-generation platforms (e.g., Ticketmaster/Archtics) and the data they produce, ideally within a sports, entertainment, or live-events organization
• Strong proficiency in SQL and Python, with experience developing, maintaining, and extending production data pipelines.
• Hands-on experience with Google Cloud Platform, especially BigQuery (familiarity with Cloud Run, Cloud Storage, and Cloud Scheduler a plus)
• Working proficiency with dbt for transformation and modeling, and with a managed ingestion tool such as Fivetran
• Experience with version control and collaborative development workflows (Git / Bitbucket)
• Strong data-quality instincts - validation, testing, deduplication and the judgment to make sound architecture decisions independently
• Excellent communication skills, with the ability to translate technical concepts for non-technical partners across the business

PREFERRED QUALIFICATIONS

• Experience owning or supporting a CRM data migration (e.g., Salesforce, HubSpot), including reverse-ETL and downstream reporting impacts
• Familiarity with reverse-ETL / operational analytics patterns (e.g., Salesforce Data Cloud) and BI tools such as Looker
• Experience with digital-media and advertising data sources (e.g., Google Ads, Google Analytics, Meta)
• Prior experience with sales‑intelligence tooling (e.g., ZoomInfo, LinkedIn Sales Navigator) feeding a CRM
• Comfort operating as an early or founding data hire in a fast-moving environment, with the self-sufficiency to own a domain end to end

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

ADDITIONAL DETAILS

The role is hybrid, works in a remote office and/or an office environment and will be expected to attend all games and events.

Position may require periods of sitting at a desk, frequent bending, moving, lifting, and carrying material weighing up to 20 pounds.

Minimal Travel (<10% travel): To other UFL markets, games, appointments and events as needed.

Ability to work a flexible schedule inclusive of weekends, nights and holidays required

Other duties as assigned by VP, Data & Business Intelligence

COMPENSATION

The salary range for this position is $125,000 - $155,000. This role is eligible for annual incentive and/or comprehensive benefits, including medical/dental/vision/life insurance, a 401(k) plan, unlimited PTO and offers a discretionary bonus. The actual base salary offered will depend on a variety of factors, including, without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position.

EQUAL EMPLOYMENT OPPORTUNITY STATEMENT

The UFL maintains a strong policy of equal opportunity in employment. It is our objective to recruit, hire, and retain the most qualified individuals without regard to race, color, religion, sex, sexual orientation or identity, national origin, age, disability, veteran status, or any other characteristic or status protected by applicable federal, state, or local law. Our equal employment philosophy applies to all aspects of employment, including recruitment, compensation, benefits, training, promotions, transfers, job benefits, and terminations.