Razor is looking for a Data Engineer with experience in clinical data who designs and builds scalable data ingestion pipelines to normalize clinical data supporting quality reporting, risk adjustment, and regulatory programs.

Education & Certification Requirements

• Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field

Location

100% Remote

Responsibilities

• Develop scalable ETL/ELT pipelines
• Normalize and map clinical data to LOINC, SNOMED CT, RxNorm, CVX
• Build data models for quality and risk adjustment reporting
• Maintain data lineage, provenance, and traceability
• Implement automated validation and quality monitoring
• Work with actuarial, quality, compliance, and analytics teams
• Support CMS, HEDIS, and risk adjustment reporting
• Optimize pipeline performance in cloud/hybrid environments <...