Staff Data Engineer
Core
Building and maintaining dbt transformation models and data pipelines from raw ingestion to governed datasets.
Role type
Staff Data Engineer
Builds
Governed, consumer-ready datasets and data pipelines
Domain
Financial data engineering on AWS
Deliverable
production ML models
Required skills
SQL, dbt Core, Apache Airflow, AWS (S3, Lambda, ECS, Glue Catalogs), Python, CICD
Preferred skills
Apache Iceberg, fixed-format or structured financial data files
Technologies
Snowflake, AWS, dbt, Apache Airflow, Python, GitHub Actions
Responsibilities
Building and maintaining dbt transformation models; Writing Snowflake SQL for complex transformations; Developing and debugging Apache Airflow DAGs; Contributing to AWS Lambda-based ingestion; Maintaining source-to-target mapping documentation; Supporting onboarding of downstream consumers; Participating in code reviews and writing data quality tests.
