Senior Data Engineer

Razor is looking for a Data Engineer to design and build scalable data ingestion ETL/ELT pipelines to normalize 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 100% Remote Responsibilities • Develop scalable ETL/ELT pipelines
• 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
• Optimize pipeline performance in cloud/hybrid environments
• Document transformations, mappings, and governance controls Qualifications • 3+ years in data engineering or ETL development
• Strong SQL and Python
• Experience with data warehouses/data marts
• Cloud platform experience (AWS/Azure/GCP) Desired Skills • Experience with Snowflake, Databricks, Redshift, BigQuery, Airflow, dbt
• Experience with data governance frameworks Razor is an EEO Employer Razor Consulting Solutions is an equal opportunity employer and does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.