Staff Data Engineer
Core
Design and deliver scalable, reliable data solutions and shape the architecture of the data platform for analytics, reporting, and product use cases.
Role type
Staff Data Engineer (Technical Leadership)
Builds
Scalable data pipelines, dimensional/semantic data models, and data quality frameworks for self-service analytics.
Domain
Gaming, Sports Betting, and Digital Media
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline design, dbt modeling, Airflow/Dagster orchestration, dimensional modeling, data warehousing, cloud data platforms, Python, SQL, data observability, technical leadership, stakeholder management
Preferred skills
Azure data platforms, data visualization tools (Looker, Tableau), CI/CD pipelines
Technologies
BigQuery, dbt, Airflow, Dagster, Python, SQL, Google Cloud Platform (GCP), Azure, Git, CI/CD
Responsibilities
Design and build scalable data pipelines; develop and optimize dbt models; manage orchestration platforms; drive data architecture decisions; implement data quality frameworks; lead technical design reviews and mentor engineers; oversee team analysis for accuracy; participate in incident response and root cause analysis.
Seniority
Staff, hands-on IC with technical leadership and mentorship
