Senior Data Engineer
Core
Building enterprise-scale data pipelines, models, and solutions to support application engineering, analytics, and business verticals in the healthcare sector.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data lakes, and data export solutions for healthcare applications and analytics.
Domain
Healthcare technology / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, cloud infrastructure (Azure/AWS/GCP), relational databases (SQL Server), big data frameworks (Spark/Databricks), Infrastructure as Code (Terraform), data modeling, data quality engineering, RESTful API design, HL7/FHIR standards.
Preferred skills
Power BI, healthcare data exchange standards (HL7, X12 EDI, FHIR), data visualization.
Technologies
Azure, AWS, GCP, Python, SQL, SQL Server, Spark, Databricks, Terraform, Power BI, HL7, FHIR, X12 EDI.
Responsibilities
Design and implement robust, scalable data pipelines; implement data ingestion, transformation, and quality features; collaborate on data models for reliability and interpretability; develop data export solutions; create design documents and conduct PoCs; support production jobs and mitigate issues; write unit, integration, and functional tests; contribute to technology roadmap and best practices.
Seniority
Senior, hands-on IC