Senior Data Engineer, Data Pipelines at Gather Health

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, SQL, Python, dbt, Dagster, Data Quality, Healthcare Data, EHR, Claims, Data Validation, Data Transformation, Data Modeling, Cloud Warehouse, BigQuery, Orchestration Tools

Industry

Health;Wellness & Fitness

Description

Description 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. Preferred Experience & Qualifications 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. Why Join Gather Health 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.

Responsibilities

The Senior Data Engineer will design, build, and maintain end-to-end data pipelines while ensuring data quality and integrity. They will also implement clinical data models and collaborate with various teams to deliver actionable data.