Data Engineer (Healthcare ETL / HL7 / Data Migration)

About the Company

We are a Healthcare IT Data & Analytics company that is on the cutting edge, with an amazing offering. We have a very fun, creative, collaborative, and fast-paced work environment. This is a fantastic team that has a great work/life balance.

About the Role

This role focuses on: one-time data ingestion, historical backfills, and data migration work (not real-time streaming or ongoing pipeline maintenance).

*This is a 100% Remote and Full-time opportunity*

Key Responsibilities

• Data Ingestion & Transformation
• Execute one-time extractions from healthcare source systems (files, APIs, databases, EHR replicas, etc.)
• Build and optimize ETL/ELT workflows using Python and SQL
• Transform complex clinical and operational data into structured datasets aligned to reporting and analytics needs

• Healthcare Data Mapping (Critical)
• Work directly with healthcare data modalities (HL7, FHIR, C-CDA, etc.)
• Normalize and map data across systems while preserving clinical meaning
• Reconcile local codes and structures into standardized formats

• Data Quality & Validation
• Implement validation checks (row counts, reconciliation, integrity, completeness)
• Ensure outputs meet strict acceptance criteria and reporting accuracy
• Produce clear data quality and reconciliation reports

• Performance & Delivery
• Support large-scale batch processing and historical backfills
• Optimize performance (partitioning, parallelism, memory usage)
• Build reliable, restartable ingestion workflows

• Collaboration
• Partner with Integration Engineers, Product, and QA teams
• Align on mapping logic, validation rules, and final output requirements
• Troubleshoot data issues across ingestion workflows

Qualifications

• 3–5 years of experience in Data Engineering / ETL / Data Integration
• Strong SQL and Python
• Hands-on experience building data pipelines or batch workflows
• Experience working in AWS (S3, Glue, Athena, etc.) or similar cloud environment
• REQUIRED: Hands-on experience working directly with HL7, FHIR, C-CDA, or EHR/EMR data (not just exposure)

Preferred Skills

• Experience with PySpark / Spark-based processing
• Experience working with EHR systems or healthcare data warehouses
• Familiarity with healthcare code sets (ICD, CPT, LOINC, RxNorm)
• Exposure to data quality tooling (Great Expectations, Deequ, etc.)

• Pay range and compensation package
• Competitive salary
• Fully remote flexibility
• Strong onboarding and ramp-up support
• Opportunity to grow into senior-level ownership

If you: Have never worked with HL7, FHIR, or healthcare data → not the role. Only build dashboards → not the role. Like solving messy, high-impact data problems → let’s talk.