Healthcare Data Engineer

Healthcare Data Engineer focuses on maintain scalable data pipelines for ingestion, transformation, and delivery of healthcare operations data from multiple client systems and third-party sources.

What the role involves

• Maintain scalable data pipelines for ingestion, transformation, and delivery of healthcare operations data from multiple client systems and third-party sources.
• Administer the organization's Snowflake data warehouse, including database design, role-based access control, query optimization, and cost governance.
• Maintain dbt models for data transformation, testing, documentation, and lineage across all data domains (census, financials, clinical, acquisition targets).

Skills and requirements

• Bachelor’s degree in Information Systems, Computer Science, Data Science, or a related field.
• 3 - 7 years of experience in data engineering, data infrastructure, API development, data integration, and data governance.
• Strong command of SQL and Python for data transformation, automation, and pipeline development.
• Proficiency with dbt (data build tool) for transformation layer development, testing, and documentation.

Confirmed role details

• Sail’s data assets are accurate, secure, accessible, and leveraged effectively to support strategic business initiatives and operational excellence.
• Maintain RESTful APIs and integration services that connect source systems, internal tools, and analytical platforms.
• Data Lake Administration: Design and implement data lake strategies for raw data storage, archival, and cost-efficient processing of high-volume datasets.
• Performance Monitoring: Monitor pipeline health, establish alerting and data quality checks.

Candidate fit

• technical problem-solving, careful delivery, documentation discipline, and clear communication with stakeholders