Data Engineer

Job Title: Senior Data Engineer (Healthcare & Interoperability)- REMOTE USA

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. You will bridge the gap between raw clinical data (HL7/FHIR) and actionable insights, ensuring high performance, scalability, and strict compliance.

• 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).

• Architecture Management: Implement and optimize a Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, lineage, and governance.

• Data Modeling: Create complex SQL queries and data models optimized for healthcare analytics, ensuring consistency across clinical and claims data.

• Optimization: Performance tune Spark jobs and SQL queries to handle high-velocity healthcare data streams efficiently.

• Domain Expertise: Minimum 10 years of experience specifically within the Healthcare industry (Payer, Provider, or Health Tech).

• Interoperability Standards: Hands-on experience working with HL7 and FHIR is a must-have. Candidates must understand resources, profiles, and bundles.

• Technical Core:

  • Spark: Advanced proficiency in PySpark for distributed data processing.

  • Python: Strong programming skills for data manipulation and automation.

  • SQL: Expert-level ability to write, debug, and optimize complex queries.

• Data Architecture: Proven experience implementing Medallion Architecture (Data Lakehouse patterns).

• Experience with cloud platforms (AWS, Azure, or GCP).

• Familiarity with healthcare privacy regulations (HIPAA, GDPR, or HITRUST).

• Experience with workflow orchestration tools like Airflow or Dagster.

• Knowledge of medical coding systems (ICD-10, LOINC, SNOMED).