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Today

Senior Data Engineer

Teal Health United States

United States

Today

$90 - $125/hr Contract Senior 3d Design Tools Aws Data Engineer

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Job Description

Teal Health is hiring a Senior Data Engineer for a hybrid role in the United States, focused on building a data foundation that helps the rest of the company query trusted, analysis-ready models. In this contract position, you will own the data warehouse, ingestion, and the modeled Omni data layer, partnering with analytics so dashboards are consistent and well-defined. You will also work with sensitive health data in alignment with HIPAA and Teal’s data governance practices.

What you’ll own

Data warehouse ownership: maintain the warehouse architecture while improving performance, reliability, and documentation.
Ingestion with Fivetran: manage and extend Fivetran ingestion across source systems, including troubleshooting connector and schema issues.
dbt transformation layer: build and maintain dbt models using a staging reporting pattern from raw sources to business-ready models used for forecasting, marketing, HubSpot, AWS, PostHog, and inventory.
Omni data layer: define relationships, joins, and modeled fields so teammates can answer cross-system questions independently.
Analytics enablement: collaborate with the analytics lead to ensure dashboards sit on an accurate, consistent, and well-defined data layer.
Early integrations: take on integration work early, including connecting new data sources and supporting partner data flows.
dbt tests and documentation: write tests and documentation so the team can trust and understand what’s in the warehouse.
Data standards and team growth: set expectations for modeling, testing, and documentation, and support how the data team grows.
Ticket-driven execution: work from a ticketed backlog (Jira or similar), scope requests across the company, and keep priorities visible.
HIPAA-aligned data handling: handle sensitive health data carefully and in line with HIPAA and Teal’s data governance practices.

What you bring

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.
Fluency in Postgres/Redshift/Snowflake-style SQL (for example, ::type casts, date_trunc(), and similar).
Hands-on experience with dbt-core, including:
- models and sources
- dbt_project.yml and packages.yml configuration
- Jinja templating
- custom macros (for example, generate_schema_name)
- dbt’s testing and docs framework
Experience building a data warehouse using a layered staging reporting architecture.
Experience working with Fivetran-landed data and comfort digging into each source’s raw schema quirks.
Working knowledge of common dbt packages such as dbt_utils and dbt_date (for example, surrogate keys and date spines).
A habit of clear documentation and organized, ticket-driven work.

Role details

Location: United States (hybrid). Preferred Hybrid or Full-time in office (San Francisco); open to Remote-US.
Department: Engineering
Reports to: Head of Engineering
Employment type: Contract (approximately 5-20 hours per week, projects may fluctuate)
Hourly rate: $90–$125 per hour

Technologies you’ll work with

SQL, Postgres, Redshift, Snowflake
dbt-core, Jinja
Fivetran
dbt_utils, dbt_date
Omni, HubSpot, PostHog, AWS
HIPAA, Jira

Preferred

Experience with Omni or a similar semantic/modeling layer (such as Looker or LookML).
Python for scripting, integrations, or pipeline tooling.
Experience with healthcare or EHR integrations.
Deeper Jinja experience, including control flow and variables within dbt models.
Experience at an early-stage or fast-growing company where you owned a data function with limited support.

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