IT, Digital Human Health, Data and Analytics, Sr. Data Engineer
Core
Design, build, and operate scalable data pipelines and curated datasets to enable self-service analytics and drive business value in healthcare.
Role type
Senior hands-on Data Engineer
Builds
Production data pipelines, curated datasets, and data marketplace solutions
Domain
Healthcare / Data Engineering
Deliverable
production ML models | product features
Required skills
ETL/ELT pipeline development, SQL, Python, cloud platform operations, data modeling, data quality control, metadata management, data governance, legacy system migration, performance optimization
Preferred skills
Databricks, Dataiku, AWS, Azure, Power BI, ThoughtSpot, machine learning data pipelines
Technologies
SQL, Python, Databricks, Dataiku, AWS, Azure, Power BI, ThoughtSpot
Responsibilities
Build and maintain ETL/ELT pipelines and data APIs; Design and implement data models for reporting; Onboard datasets and maintain data catalog; Execute migration from legacy systems to modern platforms; Validate data quality and implement governance rules; Translate business needs into implemented data solutions
Seniority
Senior, hands-on IC