Data Engineer
Core
Design and build core data platform components, advanced data models, and ingestion frameworks to power analytics, machine learning, and data-driven decision making in healthcare.
Role type
Senior Data Engineer (Healthcare Data Platform)
Builds
Scalable batch and streaming data pipelines, data models, and platform infrastructure for analytics and ML workloads.
Domain
Healthcare technology / Data Engineering
Required skills
Python, SQL, relational and NoSQL databases, data lakes/lakehouse technologies (Delta Lake, Parquet), cloud infrastructure (Azure/AWS/GCP), CI/CD pipelines, data quality monitoring, data governance and lineage
Preferred skills
Experience with observability tools, troubleshooting production pipeline failures, cross-functional collaboration with data scientists
Technologies
Python, SQL, Delta Lake, Parquet, Azure, AWS, GCP, CI/CD tools
Responsibilities
Build and own scalable data pipelines for ingestion, integration, and processing; Architect and maintain robust data models across databases and lakehouse platforms; Develop and own core data platform components and infrastructure; Ensure data integrity and quality through monitoring, alerting, lineage, and traceability; Manage and optimize data infrastructure including clusters, storage, and compute resources; Implement metrics and observability across services using logging, tracing, and monitoring
Seniority
Senior, hands-on IC