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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** The United Football League (ufl) - **Location:** White Plains, NY, United States - **Experience:** Experienced - **Salary:** $125,000.0 - $155,000.0 - **Contract:** Permanent contract - **Skills:** Google AdWords, BigQuery, Cloud Computing, Cloud Storage, Information Systems, Customer Data Management, Data Deduplication, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mapping, Dataspaces, Data Systems, Google Analytics, Python (Programming Language), Machine Learning, Operational Databases, Scrum Methodology, Salesforce.Com, SQL Databases, Google Cloud, Git, Core Data, Information Technology, Google Cloud Functions, Bitbucket, Hubspot, Looker Analytics, Software Version Control - **Published:** July 31, 2026 - **Apply:** https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?source=TeamWork&client=u1ruu&ccId=19000101_000001&cid=8c6702bc-5a45-465e-ae8f-8859cd7ae6de&jobId=522530&lang=en_US ## About the Role * 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, * 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 ## Description 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, * 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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