Senior Data Engineer
Core
Architect and own the full data stack including ingestion, transformation, warehouse architecture, and systems connecting model outputs to production for a quantitative strategy team.
Role type
Senior IC data engineer (founder/first hire)
Builds
Data warehouse, transformation layers, data pipelines, real-time streaming infrastructure, and reverse ETL systems.
Domain
Consumer gaming and finance
Deliverable
production ML models
Required skills
SQL, Python, data warehousing (BigQuery, Snowflake, Redshift), transformation frameworks (dbt), pipeline orchestration (Airflow, Dagster, Prefect), data modeling patterns
Preferred skills
streaming/real-time data systems (Kafka, Pub/Sub, Flink), analytics engineering tools (Fivetran, Statsig), quantitative or financial data environments, early-stage startup experience
Technologies
BigQuery, dbt, Airflow, Kafka, Flink, Snowflake, Redshift
Responsibilities
Design and optimize BigQuery environment for performance and cost; build and maintain dbt transformation layers; manage robust data pipelines with monitoring and alerting; design and implement real-time streaming infrastructure; integrate model outputs into production systems; build data quality testing and validation frameworks; partner with data science and engineering teams to translate requirements.
Seniority
Senior, hands-on IC (first hire)
