WHAT WE’RE LOOKING FOR

• 5+ years of data engineering experience in high-growth or complex environments.
• Proficiency with modern data warehousing tools such as BigQuery or Snowflake.
• Strong SQL and data modeling skills.
• Experience writing production-level code in a general-purpose language.
• Integration experience with tools like Salesforce, HubSpot, or Iterable.
• Outstanding time and backlog management skills; able to manage competing priorities in a fast-paced environment.
• Self-starter who works well independently and cross-functionally with both technical and non-technical stakeholders.

ABOUT THE ROLE

Tava Health is hiring its first Senior Data Engineer. This is a hands-on role, responsible for building and owning the company’s data infrastructure from the ground up.
You’ll be the go-to person for all things data engineering: managing integrations, building pipelines, and leading centralized data governance. Your work will support teams across the organization in their efforts.
This is a high-autonomy, high-impact role in a dynamic, fast-paced environment. Strong time management and prioritization skills are essential.

WHAT YOU’LL DO

• Build and maintain robust data pipelines using tools like Fivetran, Airbyte, and BigQuery.
• Manage and evolve our data warehouse architecture.
• Integrate third-party platforms including Salesforce, HubSpot, Iterable, ZocDoc, and Tableau.
• Lead the implementation of centralized data governance, defining sources of truth and managing data flow standards.
• Partner with cross-functional teams to implement clean, reporting-ready data models.
• Write clean, production-grade code in a general-purpose language (e.g., Python).
• Monitor data quality and ensure reliability across systems.