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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

Senior Data Engineer (contract) at Teal Health, focused on owning the data warehouse and delivering trusted, analysis-ready models through an Omni semantic layer.

Responsibilities

Own Teal’s data warehouse, including architecture, performance, reliability, and documentation
Manage and extend Fivetran ingestion across source systems; troubleshoot connector and schema issues
Build and maintain a dbt transformation layer using a staging reporting approach from raw sources to business-ready models
Support forecasting and reporting use cases across marketing, HubSpot, AWS, PostHog, and inventory
Own the Omni data layer: define relationships, joins, and modeled fields for cross-system questions
Partner with the analytics lead to ensure dashboards sit on accurate, consistent, and well-defined data layers
Take on early integration work: connect new data sources and support partner data flows
Write dbt tests and documentation to improve trust and understanding of warehouse data
Set standards for data modeling, testing, and documentation, and help shape team growth
Execute work from a ticketed backlog ( Jira or similar), including scoping requests and keeping priorities visible
Handle sensitive health data in line with HIPAA and Teal’s data governance practices

Requirements

5+ years of experience in data engineering or analytics engineering, including ownership of a production data warehouse
Strong SQL skills, including window functions, date logic, and complex joins across marketing, product, and operational data
Fluency with 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 (example provided: generate_schema_name)
- dbt’s testing and docs framework
Experience designing and developing a data warehouse using a layered staging reporting architecture
Experience working with Fivetran-landed data and the ability to dig into each source’s raw schema details
Working knowledge of common dbt packages such as dbt_utils and dbt_date (including surrogate keys, date spines, etc.)
Strong habits for documentation and organized, ticket-driven execution

Technologies

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

Location

United States (hybrid)
Preferred: Hybrid or Full-time in Office (San Francisco)
Open to Remote-US

Employment Type

Contract
~5–20 hours per week (project volume fluctuates)

Reporting Line and Department

Department: Engineering
Reports to: Head of Engineering

Contract Compensation

Expected hourly rate: $90–$125 per hour

Preferred

Experience with Omni or a similar semantic/modeling layer (Looker, LookML, etc.)
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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