{"id":1341496,"url":"https://alion.io/job/the-ufl-data-engineer","title":"Data Engineer","company":{"id":1763612,"name":"United Football League","domain":"theufl.com","url":"https://alion.io/company/theufl","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["White Plains, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Bitbucket","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"Looker","optional":true},{"name":"Salesforce Data Cloud","optional":true}],"status":"live","first_seen_at":"2026-07-31T02:55:00Z","employer_posted_date":"2026-07-31","last_verified_at":"2026-10-17T07:01:32Z","board_verified":true,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Position: Data Engineer\nReports to: VP, Data & Business Intelligence\nLocation: White Plains, NY (Hybrid) preferred or Open to Remote\nABOUT THE UFL\nThe 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.\nABOUT THE ROLE\nThe 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.\nAs 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.\nThis 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.\nWHAT YOU WILL DO\nTake 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\n\nOperate and maintain core data flows.\n\nMonitor 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\n\nEvaluate existing architecture, identify gaps and opportunities, and drive adjustments that improve reliability, cost, and performance as the league's needs grow\n\nOwn 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\n\nExtend 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\n\nSafeguard data quality. Maintain accuracy and trust through validation, deduplication, and classification\n\nPartner with Sales, Sponsorships, Marketing, Finance and Football Operations to translate needs into reliable data solutions\n\nEstablish 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\n\nWork 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\n\nWHAT YOU WILL BRING\nBachelor's degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and hands-on experience may be considered\n\n3-5 years of data engineering experience, including ownership of production pipelines that other teams or systems depend on\n\nProven ability to step into an existing data platform - reading, documenting, and improving pipelines and code you didn't originally build\n\nHands-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\n\nStrong proficiency in SQL and Python, with experience developing, maintaining, and extending production data pipelines.\n\nHands-on experience with Google Cloud Platform, especially BigQuery (familiarity with Cloud Run, Cloud Storage, and Cloud Scheduler a plus)\n\nWorking proficiency with dbt for transformation and modeling, and with a managed ingestion tool such as Fivetran\n\nExperience with version control and collaborative development workflows (Git / Bitbucket)\n\nStrong data-quality instincts - validation, testing, deduplication and the judgment to make sound architecture decisions independently\n\nExcellent communication skills, with the ability to translate technical concepts for non-technical partners across the business\n\nPREFERRED QUALIFICATIONS\nExperience owning or supporting a CRM data migration (e.g., Salesforce, HubSpot), including reverse-ETL and downstream reporting impacts\n\nFamiliarity with reverse-ETL / operational analytics patterns (e.g., Salesforce Data Cloud) and BI tools such as Looker\n\nExperience with digital-media and advertising data sources (e.g., Google Ads, Google Analytics, Meta)\n\nPrior experience with sales-intelligence tooling (e.g., ZoomInfo, LinkedIn Sales Navigator) feeding a CRM\n\nComfort operating as an early or founding data hire in a fast-moving environment, with the self-sufficiency to own a domain end to end\n\nOTHER DUTIES\nPlease 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.\nADDITIONAL DETAILS\nThe location of this role is flexible and the league will consider both remote candidates or those located in the Tri-State area, available to work in a hybrid environment, with an expectation of in-office collaboration 2-3 days per week.\n\nPosition may require periods of sitting at a desk, frequent bending, moving, lifting, and carrying material weighing up to 20 pounds.\n\nMinimal Travel (\n\nAbility to work a flexible schedule inclusive of weekends, nights and holidays required\n\nOther duties as assigned by VP, Data & Business Intelligence\n\nCOMPENSATION\nThe 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.\nEQUAL EMPLOYMENT OPPORTUNITY STATEMENT\nThe 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. 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