ADDSOURCE
Data Engineer
US · third party
Sponsorship not specifiedDetected 70 days ago
PythonSQLAWSGCPAzureCloud PlatformsSparkAirflowData EngineeringAI OrchestrationComplianceHIPAAHL7/FHIRICD-10
About the role
- You will bridge the gap between raw clinical data (HL7/FHIR) and actionable insights, ensuring high performance, scalability, and strict compliance.
- Optimization: Performance tune Spark jobs and SQL queries to handle high-velocity healthcare data streams efficiently.
- Interoperability Standards: Hands-on experience working with HL7 and FHIR is a must-have.
Responsibilities
- Architecture Management: Implement and optimize a Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, lineage, and governance.
- SQL: Expert-level ability to write, debug, and optimize complex queries.
- Implement and optimize a Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, lineage, and governance.
Requirements
- Spark: Advanced proficiency in PySpark for distributed data processing.
- Technical Core: Spark: Advanced proficiency in PySpark for distributed data processing.
Nice to have
- Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
- Experience with workflow orchestration tools like Airflow or Dagster.
- Proven experience implementing Medallion Architecture (Data Lakehouse patterns).
Benefits
- Pipeline Development: Design and implement end-to-end ETL/ELT pipelines using Python and Spark to process large-scale healthcare datasets.
- Healthcare Interoperability: Lead the ingestion and transformation of clinical data standards, specifically HL7 (v2/v3) and FHIR (Fast Healthcare Interoperability Resources).
- Data Modeling: Create complex SQL queries and data models optimized for healthcare analytics, ensuring consistency across clinical and claims data.
- Mandatory Qualifications & Skills Domain Expertise: Minimum 10 years of experience specifically within the Healthcare industry (Payer, Provider, or Health Tech).
Company info
- Senior Data Engineer (Healthcare & Interoperability)- REMOTE USA Role Overview We are seeking a highly skilled Data Engineer with a deep specialization in the Healthcare domain.
- The ideal candidate will be responsible for building and maintaining robust data pipelines that handle sensitive medical data using Medallion Architecture.
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