Data Engineer
$125,000–$155,000 year
HybridWhite Plains, New York, United States
Job Summary
Own the UFL's existing data platform by reviewing, understanding, and supporting current pipelines and warehouse infrastructure built on Fivetran, dbt, and BigQuery. Monitor ETL/ELT and reverse-ETL flows moving data from ticketing, CRM, and sales intelligence sources into BigQuery, troubleshooting ingestion and delivery issues during high-volume periods. Evaluate architecture for gaps, drive adjustments to improve reliability and cost, and lead data mapping for upcoming CRM migrations. Extend trusted datasets by maintaining dbt models and safeguarding data quality through validation, deduplication, and classification. Partner with Sales, Sponsorships, Marketing, Finance, and Football Operations to translate needs into reliable solutions while establishing in-house engineering standards for documentation, version control, and testing. Work within team practices including standups and sprint planning to keep engineering work visible and prioritized.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or a related field
- 3–5 years of data engineering experience
- 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)
- Strong proficiency in SQL and Python
- Hands-on experience with Google Cloud Platform, especially BigQuery
- Working proficiency with dbt for transformation and modeling
- Experience 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
- Ability to work a flexible schedule inclusive of weekends, nights and holidays
- Position may require periods of sitting at a desk, frequent bending, moving, lifting, and carrying material weighing up to 20 pounds
Desired 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
- familiarity with Cloud Run, Cloud Storage, and Cloud Scheduler
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