Senior Data Engineer
Core
Design and implement data pipelines to power analytical capabilities, creating datasets for financial and analytic workloads.
Role type
Senior Data Engineer
Builds
Data pipelines, datasets, and data infrastructure for analytical workloads
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python (ETL), SQL, pySpark, DBT, cloud deployment (Azure/AWS/GCP), data warehousing, dimensional modeling
Preferred skills
Data governance in cloud, BigQuery, Epic data model, healthcare data (Claims/Admissions)
Technologies
Python, SQL, pySpark, DBT, Azure, AWS, GCP, BigQuery
Responsibilities
Design and build ETL/ELT data pipelines; optimize data queries and reduce costs; establish data quality standards and governance frameworks; develop data models and schemas; collaborate on data solutions for BI and ML; document pipelines and mentor junior engineers
Seniority
Senior, hands-on IC
