Teams at Fanatics

Analyze Sportsbook product performance through testing, reporting, ad hoc queries, and data-driven insights. Partner with product stakeholders, Analysts, and Data Scientists to optimize user experiences, track metrics, solve business problems, and support product development. Present findings to senior stakeholders and serve as a trusted source of analytical intelligence.

Build and operate production data pipelines using Python, SQL, Airflow, Snowflake, and Databricks. Implement ingestion sources, DAGs, schemas, monitoring, and catalog registration; investigate and resolve pipeline issues; review code; trace data lineage; support data security, governance, and reverse ETL integrations; collaborate with stakeholders; and mentor junior data engineers.

Lead the design, development, testing, deployment, and maintenance of scalable promotions and rewards software. Guide engineering teams, make architecture and technical trade-off decisions, troubleshoot production issues, improve operational excellence, conduct code reviews, mentor engineers, and influence engineering best practices. Collaborate with product leaders and stakeholders while participating in planning, documentation, and on-call support. Occasional travel to offices, conferences, events, meetings, and team-building activities is required.