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Contract Analytics Engineer Dbt Jobs (NOW HIRING)

Comfy

Contract Analytics Engineer

San Francisco, CA · On-site

Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top ... You know ComfyUI, or care about AI creative tools (Contract) Analytics Engineer -- Data Platform ...

Cliff Services Inc

Snowflake Data Engineer - DBT

Johnston, RI · On-site

$115K - $138K/yr

Sr. Snowflake Data Engineer DBT Location: Rhode Island (RI) Onsite Openings: 5 Job Summary We are ... Collaborate with business analysts, data architects, and application teams. * Support CI/CD ...

Extend

Analytics Engineer

$138K - $161K/yr

You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable ... Claim Reimbursement & Contract Sales Ownership. You own and improve the data workflows related to ...

United Airlines

Snowflake Data Engineer - DBT

Columbia, SC · Hybrid

$105K - $127K/yr

This role involves working closely with data engineers analysts and other IT professionals to ... Proven experience in data engineering roles with a focus on Snowflake AWS services Python and DBT

eMed LLC

Analytics Engineer

Miami, FL · On-site

Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS ... data contracts). Benefits * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k)

eMed LLC.

Analytics Engineer

Miami, FL · On-site

Design, build, and maintain dbt models across staging, intermediate, and mart layers on our AWS ... data contracts). Benefits * Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k)

Capgemini

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

This role involves working closely with data engineers analysts and other IT professionals to ... DBT - Experience with DBT Data Build Tool for modeling data and creating data transformation ...

Cribl

Staff Analytics Engineer

Design, build, and maintain certified dbt models as the authoritative source for business-critical ... contracts, lineage, and governance. * Experience designing reusable semantic models, certified ...

Klaviyo

Analytics Engineer

Boston, MA · On-site

Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and ... contracts and governance * Lead and mentor others through design reviews, best practices, and ...

Klaviyo Inc.

Analytics Engineer

Boston, MA · On-site

Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and ... contracts and governance * Lead and mentor others through design reviews, best practices, and ...

Extend

Analytics Engineer

$138K - $161K/yr

You build and maintain data pipelines in Snowflake and dbt to support reliable, auditable ... Claim Reimbursement & Contract Sales Ownership. You own and improve the data workflows related to ...

Lindblad Expeditions

Analytics Engineer

New York, NY · Hybrid

$130K - $150K/yr

Build and maintain dbt models across staging, intermediate, and mart layers following Kimball ... Collaborate with the data engineer on pipeline design, source data contracts, and overall data ...

Cribl

Staff Analytics Engineer

$170K/yr

Mentor analysts and analytics engineers on dbt development, data modeling, and analytics ... contracts, lineage, and governance. * Experience designing reusable semantic models, certified ...

Lindblad-Expeditions

Analytics Engineer

Manhattan, NY · On-site

Build and maintain dbt models across staging, intermediate, and mart layers following Kimball ... Collaborate with the data engineer on pipeline design, source data contracts, and overall data ...

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Contract Analytics Engineer Dbt information

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How much do contract analytics engineer dbt jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for contract analytics engineer dbt in the United States is $48.93, according to ZipRecruiter salary data. Most workers in this role earn between $41.11 and $50.72 per hour, depending on experience, location, and employer.

What is a contract analytics engineer dbt?

A Contract Analytics Engineer Dbt is a data professional who works on a contract basis to design, build, and maintain data transformation pipelines using dbt (data build tool). Their main responsibilities include developing SQL-based transformations, managing data models, ensuring data quality, and collaborating with analytics teams to provide actionable insights. These engineers often work with organizations to optimize analytics workflows, automate data processes, and implement best practices for data engineering using dbt. Their work helps businesses make data-driven decisions by ensuring accurate, timely, and well-structured data.

What are the key skills and qualifications needed to thrive as a contract analytics engineer dbt?

To thrive as a Contract Analytics Engineer DBT, you need expertise in data modeling, SQL, and analytics engineering, typically supported by a degree in a quantitative field and experience with data transformation. Proficiency with dbt (data build tool), cloud data warehouses (like Snowflake or BigQuery), and version control systems is essential. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with stakeholders and deliver actionable insights. These skills ensure accurate, scalable analytics solutions that drive business decision-making and data integrity.

What are the main challenges a contract analytics engineer working with dbt may face, and how can they be addressed?

A Contract Analytics Engineer specializing in dbt often encounters challenges such as quickly onboarding to new data environments, understanding existing dbt models, and aligning analytics work with stakeholders' business needs. Navigating unfamiliar data warehouses and adapting to varied coding standards across clients can be demanding. To address these, it's essential to communicate regularly with data teams, leverage dbt's documentation and testing features, and maintain a proactive approach to learning about each client's data architecture. Collaboration and adaptability are key to delivering effective, timely analytics solutions.

What is the difference between Contract Analytics Engineer Dbt vs Data Analyst?

AspectContract Analytics Engineer DbtData Analyst
CredentialsExperience with dbt, SQL, data modelingStatistical, analytical, or data-related degrees often preferred
Work EnvironmentData teams, analytics projects, cloud platformsBusiness units, reporting, data visualization
Industry UsageTech, finance, e-commerce, where data transformation is keyMarketing, finance, healthcare, focusing on insights

Contract Analytics Engineer Dbt focuses on building and maintaining data transformation pipelines using dbt, SQL, and data modeling. Data Analysts interpret data, create reports, and provide insights. While both roles work with data, the Contract Analytics Engineer Dbt is more technical and development-oriented, whereas Data Analysts focus on analysis and reporting.

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Infographic showing various Contract Analytics Engineer Dbt job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $101,781 per year, or $48.9 per hour.

Contract Analytics Engineer

San Francisco, CA • On-site

Comfy
See more jobs at Comfyexternal

Other

This job post has expired 3 days ago. Applications are no longer accepted.

Job description

The Role

Comfy's analytics stack is young and moving fast: Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions — revenue pacing, activation funnels, finance close, enterprise deals. We need immediate support on growth analytics and this role is the engineering muscle behind that: keep the data layer true, ship the models, troubleshoot.

This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the person who reviews and merges data-platform pull requests, and be the reason pipeline breakages get caught in hours instead of weeks.

What You'll Do

  • Own the dbt codebase: model, test, review, and merge — clear the PR queue and keep main green

  • Own ingestion reliability across Airbyte/Airflow jobs (product DB, PostHog, Stripe, Metronome, HubSpot), with monitors and alerts so silent failures stop happening

  • Turn hand-built SQL into tested, scheduled dbt models — starting with finance's views, so monthly close runs off the warehouse, not heroics

  • Build and certify the marts behind our dashboards: revenue and bookings, activation, team plans and workspaces, credit usage

  • QA and extend event instrumentation with product engineers: tracking plans, event naming, identity stitching, catching the funnel events that don't fire

  • Unblock the people waiting on data: growth's dashboard build, finance's close, enterprise's usage-analytics features

You Might Be a Fit If You

  • Are a senior analytics or data engineer for whom dbt + a cloud warehouse (we're on Snowflake) is home turf

  • Ship like a software engineer: git-native, strong PR reviewer, tests and CI by default — comfortable being the merge authority on a shared repo

  • Have run orchestration and ingestion in production (Airflow, Airbyte or Fivetran) and can debug a pipeline end to end, from source API to dashboard

  • Have modeled billing and subscription data before — Stripe required-level familiarity; usage-based billing (credits, metering, Metronome-style) is a strong plus

  • Know event analytics (PostHog, Segment, or GA4): tracking plans, event QA, identity resolution

  • Work at contractor pace: scoped outcomes, fast clock, crisp async communication with a small intense team

Bonus Points

  • You've been the data platform person at a PLG SaaS company

  • Hex (or similar notebook-BI), Datadog monitors, Terraform

  • You know ComfyUI, or care about AI creative tools

(Contract) Analytics Engineer — Data Platform

The Role

Comfy's analytics stack is young and moving fast: Snowflake and dbt, Airbyte and Airflow, PostHog events, Stripe and Metronome billing, Hex on top. It was stood up quickly by our backend team and interim help, and it now powers real decisions — revenue pacing, activation funnels, finance close, enterprise deals. We need immediate support on growth analytics and this role is the engineering muscle behind that: keep the data layer true, ship the models, troubleshoot.

This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the person who reviews and merges data-platform pull requests, and be the reason pipeline breakages get caught in hours instead of weeks.

What You'll Do

  • Own the dbt codebase: model, test, review, and merge — clear the PR queue and keep main green

  • Own ingestion reliability across Airbyte/Airflow jobs (product DB, PostHog, Stripe, Metronome, HubSpot), with monitors and alerts so silent failures stop happening

  • Turn hand-built SQL into tested, scheduled dbt models — starting with finance's views, so monthly close runs off the warehouse, not heroics

  • Build and certify the marts behind our dashboards: revenue and bookings, activation, team plans and workspaces, credit usage

  • QA and extend event instrumentation with product engineers: tracking plans, event naming, identity stitching, catching the funnel events that don't fire

  • Unblock the people waiting on data: growth's dashboard build, finance's close, enterprise's usage-analytics features

You Might Be a Fit If You

  • Are a senior analytics or data engineer for whom dbt + a cloud warehouse (we're on Snowflake) is home turf

  • Ship like a software engineer: git-native, strong PR reviewer, tests and CI by default — comfortable being the merge authority on a shared repo

  • Have run orchestration and ingestion in production (Airflow, Airbyte or Fivetran) and can debug a pipeline end to end, from source API to dashboard

  • Have modeled billing and subscription data before — Stripe required-level familiarity; usage-based billing (credits, metering, Metronome-style) is a strong plus

  • Know event analytics (PostHog, Segment, or GA4): tracking plans, event QA, identity resolution

  • Work at contractor pace: scoped outcomes, fast clock, crisp async communication with a small intense team

Bonus Points

  • You've been the data platform person at a PLG SaaS company

  • Hex (or similar notebook-BI), Datadog monitors, Terraform

  • You know ComfyUI, or care about AI creative tools

Additional details

  • Contract ~3–6 months, extension or conversion possible

  • Start ASAP

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