Senior Data Engineer - Data Warehouse & dbt (Remote)

Teal Health; Oregon; Hybrid; USD 124,000 - 172,000; Part time

Job summary

Teal Health in San Francisco is seeking a Senior Data Engineer to own the foundational data layer across the company. You will manage the data warehouse, pipelines, and the semantic layer in Omni that supports dashboards and analytics for patients, payers, and partner data.

You will work with Fivetran and dbt to ensure reliable, well-documented data models, while coordinating with the Analytics team. The role is a contract position, approximately 5–20 hours per week, with hybrid office presence

Qualifications

• 5+ years of experience in data engineering or analytics engineering, including owning a production data warehouse.
• Strong SQL, including window functions, date logic, and complex joins across marketing, product, and operational data.
• Hands-on experience with dbt-core, including models, sources, and tests.
• Experience designing and developing a data warehouse using a layered staging - reporting architecture.
• Experience working with Fivetran-landed data and various data sources such as ad platforms, HubSpot, AWS.

Responsibilities

• Own Teal's data warehouse, including architecture, performance, reliability, and documentation.
• Manage and extend Fivetran ingestion across source systems and troubleshoot issues.
• Build and maintain the dbt transformation layer from raw sources to business-ready models.
• Own the Omni data layer to enable cross-system questions.
• Collaborate with analytics on dashboards and ensure data layer accuracy.

Skills

SQL

dbt-core

Data warehouse design

Fivetran

HIPAA data handling

Tools

dbt

Looker/LookML

Job description

Teal Health in San Francisco is seeking a Senior Data Engineer to own the foundational data layer across the company. You will manage the data warehouse, pipelines, and the semantic layer in Omni that supports dashboards and analytics for patients, payers, and partner data.

You will work with Fivetran and dbt to ensure reliable, well-documented data models, while coordinating with the Analytics team. The role is a contract position, approximately 5–20 hours per week, with hybrid office presence