Staff Analytics Engineer

What you'll do

• Architect and build pipelines for real-time ingestion of auxiliary data into SQL and Delta Lake stores.
• Build and maintain scrapers and validation pipelines to source and clean external datasets.
• Design and deliver the medallion architecture and data transformation jobs for the global data project.
• Establish scalable approaches for database management and automated cleaning of heterogeneous datasets.
• Optimize query execution times by making strategic decisions between memory and speed tradeoffs.
• Partner with stakeholders to deliver data products including curated datasets, Tableau dashboards, and R Shiny apps.
• Mentor analytics engineers and drive the adoption of coding standards and engineering best practices.
• Influence the technical strategy and roadmap for the global data project through build-vs-buy decisions.

What we're looking for

• 7+ years of experience in an analytics/data engineering role, including senior or lead-level responsibilities.
• 4+ years of experience designing and maintaining databases and data ingestion pipelines, including real-time ingestion and web scraping.
• Proficient in SQL, Databricks, R/Python, Tableau, AWS S3 buckets, and command line.
• Proven experience building production data pipelines with Python/R and Databricks using medallion or comparable layered architectures.
• Deep understanding of relational databases.
• Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in a data analysis role (preferred).
• Demonstrated experience mentoring engineers and elevating a team's technical best practices, standards, and ways of working.
• Exposure to sports data (NBA/NFL, and especially international soccer) is a strong plus (preferred).