Tuva Data Engineer

Job Information

Location: Remote
Type: Full-Time | Contract-to-Hire
Compensation: $75/hr 

Why This Role Is Open

We''re growing our data team and investing in a modern healthcare analytics platform built around Tuva, dbt, and Snowflake.

As we continue to expand our reporting and analytics capabilities, we''re looking for a Data Engineer who can help us build scalable data pipelines, improve data quality, and create a strong foundation for analytics across the organization.
 

What You''ll Do

• Build and maintain ETL/ELT pipelines supporting the Tuva Data Model.
• Work with healthcare data including claims, eligibility, provider, clinical, and revenue cycle data.
• Transform and structure raw data into clean, reliable datasets for reporting and analytics.
• Build and maintain data models using SQL and dbt.
• Improve data quality through testing, validation, and monitoring processes.
• Optimize Snowflake and other cloud-based data platforms.
• Partner with teams across the business to understand reporting needs and deliver scalable data solutions.
• Troubleshoot data issues and improve overall platform performance.
• Document data models, transformation logic, and data flows.

What We''re Looking For

• 4+ years of Data Engineering experience.
• Strong healthcare data experience.
• Advanced SQL skills.
• Experience with dbt.
• Experience building ETL/ELT pipelines.
• Experience with Snowflake or a similar cloud data warehouse.
• Experience working with healthcare data models.
• Understanding of:
  • Medical Claims
  • Clinical Data
  • Revenue Cycle Data
  • Provider Data
  • Member Eligibility Data
• Experience with Git and CI/CD practices.
• Strong problem-solving and troubleshooting skills.
• Comfortable working independently and figuring things out when there isn''t a perfect playbook.

Nice to Have

• Experience with the Tuva Data Model.
• Experience implementing healthcare data transformation frameworks.
• Familiarity with FHIR and HL7.
• Experience with Epic, Cerner, Athena, Meditech, ECW, or similar healthcare systems.
• Experience with Airflow.
• Python experience.
• Exposure to Population Health, Value-Based Care, Risk Adjustment, or HEDIS reporting.
• Healthcare analytics or consulting experience.