Data Base Engineer (SQL)

This is a remote position.

• 5+ years in data engineering, healthcare data extraction, or clinical informatics
  
• Strong SQL, Python, and Spark (batch + streaming) on Databricks, EMR, or OCI Data Flow
  
• Hands-on experience with HL7 v2.x, CCDA, FHIR, and EDI X12 (837/835)
  
• Background in a healthcare IT vendor, MSP, EMR company, or consulting firm
  
• Proven ability to query and interpret ambulatory EMR/EHR schemas (NextGen, eClinicalWorks, Greenway, Athena, etc.)
  
• Query optimization experience with Autonomous Data Warehouse, Snowflake, or Redshift
  
• Cloud experience (AWS, Azure, or OCI)
  
• Experience building metadata-driven pipelines with data lineage, auditability, and governance
  
• Experience with Airflow (or similar), Git, CI/CD, Terraform, and DataOps workflows
  
• Ability to manage multiple deadlines and meet regulatory timeframes
  

• Bachelor’s degree in Computer Science, Information Systems, Health Informatics, or a related field
  
• Experience with CMS eCQMs, MIPS/MACRA, ACO measures, or quality reporting
  
• Familiarity with SNOMED, LOINC, RxNorm, CPT/HCPCS, and ICD-10
  
• Delta Lake / Lakehouse experience
  

• Extract, parse, and validate patient data from HL7, CCDA, and FHIR sources; troubleshoot malformed messages and resolve data gaps with vendors
  
• Query EMR databases and translate CMS MIPS measure specifications into SQL logic
  
• Build scalable, metadata-driven ingestion pipelines with data quality checks, reconciliation, and lineage
  
• Support MIPS Advisors with numerator/denominator data and produce audit-ready, reproducible calculations for CMS submission
  
• Maintain engineering standards, documentation, and peer review practices aligned with security and architecture baselines
  
• Collaborate with Value-Based Care Advisors, client IT teams, EMR vendors, and Security & Compliance, translating technical issues into clear insights for non-technical stakeholders
  

Benefits