Senior Data Engineer

<h3>📋 Description</h3> • At Tava Health, we believe mental health care should be as accessible and stigma-free as a checkup. • We’re a fast-growing team on a bold mission: to make high-quality mental health care available to everyone. • 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. • 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. <h3>🎯 Requirements</h3> • 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.