Tuva Data Engineer

• 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., Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies.
• California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
• Virginia residents may access our state specific policies here.
• Residents of all other states may access our policies here.
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• 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.

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

• the individual's skill sets, experience and training;
• licensure and certification requirements;
• office location and other geographic considerations;
• other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring.