Senior Data Engineer
Core
Design, build, and evolve scalable ETL/ELT pipelines and curated analytical layers to power self-service analytics and high-quality data products at scale.
Role type
Senior Data Engineer
Builds
Production-grade data pipelines, analytical models, semantic models, and data marts
Domain
Sports, gaming, and fan experiences technology
Deliverable
production ML models | product features
Required skills
SQL, Python, dimensional modelling, data warehouse design, orchestration tooling, data quality, cloud platforms
Preferred skills
Event-driven source systems, cloud-native analytical databases, semantic layers, data governance, developer productivity tooling
Technologies
Apache Airflow, Snowflake, BigQuery, AWS, Azure, GCP
Responsibilities
Design and build scalable ETL/ELT pipelines for high-volume datasets; Own medium-to-large data initiatives end-to-end; Develop curated analytical layers and semantic models; Orchestrate robust workflows; Partner with stakeholders to translate requirements into data solutions; Mentor less senior data engineers
Seniority
Senior, hands-on IC
