Staff Analytics Engineer
Core
Senior technical leader designing, building, and scaling data models, pipelines, and architecture to source, ingest, and serve auxiliary data for sports modeling and business decisions.
Role type
Staff Analytics Engineer (Data Architecture & Pipeline)
Builds
Real-time data ingestion pipelines, scrapers, medallion architecture (bronze/silver/gold), curated datasets, and dashboards (Tableau, R Shiny).
Domain
Sports betting & wagering / Data Engineering
Required skills
SQL, Python, R, Databricks, AWS S3, relational databases, web scraping, medallion architecture design, database management, query optimization, mentoring.
Preferred skills
Sports data exposure (NBA, NFL, international soccer), AI/ML curiosity, ambiguity tolerance.
Technologies
Databricks, Tableau, R, Python, SQL, AWS S3, Delta Lake.
Responsibilities
Architect and build fast/real-time data ingestion pipelines; build and maintain scrapers and validation pipelines; own medallion architecture design and delivery; establish scalable database management and automated cleaning; optimize query execution times; partner with stakeholders to deliver data products; mentor engineers and drive best practices; influence technical strategy and roadmap.
Seniority
Staff, senior technical leader with hands-on execution and team elevation.