Database Analytics Engineer
Core
Design and develop scalable data transformation pipelines, optimize dbt projects, and migrate legacy SAS workflows to modern analytics stacks.
Role type
Senior Database Analytics Engineer
Builds
Production-grade analytics transformation pipelines and data quality controls
Domain
Data Engineering / Analytics Engineering
Deliverable
production ML models
Required skills
dbt (Core), PySpark, Apache Iceberg, SQL, Dagster, SAS ETL, Git, CI/CD
Preferred skills
Spark job optimization, layered data modeling, data validation and reconciliation
Technologies
dbt, PySpark, Apache Iceberg, Dagster, SAS, Git
Responsibilities
Design and develop scalable data transformation pipelines; Optimize performance of dbt projects; Implement data quality checks and automated regression testing; Translate business requirements into operational pipelines; Promote best practices for dbt project management; Migrate legacy SAS workflows to dbt and PySpark.
Seniority
Senior, hands-on IC
