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.