Bachelor's degree in Computer Science, Data Engineering, Health Informatics, or related field
3+ years of experience in data engineering or ETL development
Strong SQL and Python skills
Experience with cloud platforms (AWS/Azure/GCP) and data warehouses/data marts
Requirements:
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
Job description
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.
