Job Details

About Gather Health

Gather Health is a Series B healthcare company reimagining primary care for older adults. Backed by Khosla, Maverick, and HC9, we've raised over $50M to build a new model of socially supported care addressing both medical and social determinants of health.

The Role

We are seeking a hands-on Senior Data Engineer (Data Pipelines) to own the flow, transformation, and quality of data within Gather Health's next-generation data platform. You'll design and maintain all batch and streaming pipelines using Dagster and dbt, transforming raw data into high-quality, analytics-ready assets.

This is a critical build role - you will lead the implementation of The Tuva Project clinical data models, design robust Bronze ? Silver ? Gold transformations, and ensure that every dataset in our platform is accurate, fresh, and reliable.

What You'll Do

• Build & Orchestrate Pipelines: Design, build, and maintain end-to-end data pipelines using Dagster and dbt across ingestion, transformation, and delivery.
• Transform & Model Data: Own the Bronze ? Silver mapping models, writing modular, production-grade dbt code and tests.
• Implement The Tuva Project: Serve as Gather's in-house expert on The Tuva Project, adapting its models to our schema and ensuring alignment with clinical data standards.
• Ensure Data Quality: Implement robust data validation and testing frameworks in dbt and Dagster to guarantee data integrity.
• Integrate Data Sources: Collaborate with the Infrastructure Engineer to onboard and maintain source data (AthenaOne, HubSpot, CCIQ, Telephony).
• Define Data Contracts: Establish and maintain schema stability between ingestion and transformation layers.
• Collaborate Across Teams: Work with the Lead Engineer and stakeholders (Clinical, Ops, Product) to deliver trustworthy, actionable data.

• 5-8+ years of hands-on experience in data engineering with a modern cloud warehouse (BigQuery, Snowflake, Redshift).
• Expert-level proficiency in SQL and Python.
• Deep experience with dbt (modeling, testing, deployment).
• Deep experience with a modern orchestration tool (Airflow, Dagster, or Prefect preferred). Experience with asset-centric pipelines is a strong plus.
• Experience with healthcare data (EHR, claims) and The Tuva Project or similar (OMOP) strongly preferred.
• Strong understanding of data quality and testing frameworks.

• Own all pipelines for a modern data platform built from scratch.
• Work with dbt, Dagster, and BigQuery in a cloud-native environment.
• Join a small, senior, mission-driven team with real autonomy.
• Competitive salary.