Key skills
Data EngineeringETL DevelopmentSQLPythonClinical Data NormalizationLOINCSNOMED CTRxNormCVXData WarehousesHealthcare Claims DataClinical DataCloud PlatformsAWSAzureGCPETLELTAnalyticsSnowflakeBigQueryRedshiftDatabricksAirflowdbt
About this role
Razor is a company focused on healthcare solutions, seeking a Data Engineer with experience in clinical data. The role involves designing and building scalable data ingestion pipelines to normalize clinical data for quality reporting and regulatory programs.
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
- Document transformations, mappings, and governance controls
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field
- 3+ years in data engineering or ETL development
- Strong SQL and Python
- Experience normalizing clinical data to standard vocabularies
- Experience with data warehouses/data marts
- Understanding of healthcare claims/clinical data
- Cloud platform experience (AWS/Azure/GCP)
- FHIR/HL7 experience
- Familiarity with RAF/HCC, HEDIS, Stars
- Experience with Snowflake, Databricks, Redshift, BigQuery, Airflow, dbt
- Knowledge of CMS/HIPAA requirements
- Experience with data governance frameworks