Data Engineer

Summary

Join Covera Health as a Data Engineer and contribute to building, optimizing, and maintaining data pipelines that power their clinical intelligence platform. You will design, develop, and maintain data pipelines for internal and external sources, transform disparate datasets into unified models, become an expert in Covera's medallion data modeling architecture, develop "one-wide" tables and normalized data structures, build data exchanges with external partners, collaborate cross-functionally, maintain high standards of documentation, and embrace a test-and-learn mindset to optimize pipeline performance and scalability. Covera Health is a remote-first company with a preference for candidates located in the Eastern or Central Time Zones. They offer a comprehensive benefits package including medical, vision, and dental insurance, flexible time off, Covera Fridays, a 401(k) retirement plan, an annual professional development stipend, and an annual wellness stipend.

Requirements

• 4+ years of experience working in data engineering,  and prior exposure to big data systems and/or experience in healthcare data environments is preferred
• Proficient in Python, SQL, Git, and cloud-managed systems (e.g., AWS, GCP, Azure)
• Experience with multiple data systems and formats, and have dealt with complex ingestion/export challenges
• Experience with orchestration tools  (Airflow, dbt,  Databricks or similar)

Responsibilities

• Design, develop, and maintain data pipelines for internal and external sources, including real-time, scheduled, and triggered workflows
• Transform disparate datasets into unified, canonical models that support enterprise-wide analytics
• Become an expert in Covera’s medallion data modeling architecture and contributing to its ongoing evolution
• Develop “one-wide” tables and normalized data structures to improve consistency and usability
• Build data exchanges with external partners, ensuring reliability and scalability
• Collaborate cross-functionally across Tech and other departments to meet business and product goals
• Maintain high standards of documentation, code readability, and data governance
• Embrace a test-and-learn mindset to optimize pipeline performance and scalability

Preferred Qualifications

Familiarity with visualization tools is a plus (Metabase, Tableau, or similar)

Benefits

• Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents
• Vision & Dental
• Flexible Time Off - take the time you need, when you need it
• Covera Fridays - once a month, Covera takes a fully paid day off to unplug and recharge
• 401(k) Retirement Plan
• Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity
• Annual Wellness stipend for fitness, mental health or other wellness expenses