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