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Dbt Developer Jobs (NOW HIRING)

About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ... About the Role We're looking for a Senior Developer Experience Advocate to join the Developer ...

$142 - $205/hr

... with no engineering or maintenance required. We're proud that more organizations continue to ... About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared ...

$142 - $205/hr

... with no engineering or maintenance required. We're proud that more organizations continue to ... About Us • • • • • • • • and dbt Labs are bringing together two industry-leading ...

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 looking for a Senior Snowflake Data Engineer with strong hands-on expertise in Snowflake, DBT, SQL ...

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable ...

This role is co-located with our dbt v2 engineering team in the US to accelerate execution ... strengthen prioritization, and ensure tight alignment across product, engineering, and platform ...

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Dbt Developer information

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$52

$81

How much do dbt developer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for dbt developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a dbt developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a dbt developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.

What are the key skills and qualifications needed to thrive as a dbt developer, and why are they important?

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

More about Dbt Developer jobs

What cities are hiring for Dbt Developer jobs?

Cities with the most Dbt Developer job openings:

What states have the most Dbt Developer jobs?

States with the most job openings for Dbt Developer jobs include:

Infographic showing various Dbt Developer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Senior Developer Experience Advocate

Fivetran

Remote

Full-time

Posted 14 days ago


Job description

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

We're looking for a Senior Developer Experience Advocate to join the Developer Experience (DX) team at dbt Labs - a team of dbt experts on the forefront of serving dbt developers and building the next generation of data workflows. We partner across our internal product and go-to-market teams, as well as across the dbt Community, operating using the PRIME framework: Prototype, Represent, Ideate, Maintain, and Enable.

This is a senior, high-impact role for a data engineering generalist who wants to spend their time in public. You will execute developer experience and developer relations work across our product surface - such as dbt State, dbt Fusion, and dbt Wizard, and the Fivetran connector SDK - helping practitioners succeed with our tools and raising our thought leadership in open data infrastructure.

We are looking for someone with broad, hard-won knowledge of the data industry: how data teams actually work, where the tooling helps, and where it gets in the way. You will translate that knowledge into content, prototypes, community engagement, and product feedback. AI is reshaping parts of this landscape and you should be comfortable working with it and curious about where it goes.

This is a highly autonomous role. You will set your own priorities, communicate them clearly, and deliver high-quality work without heavy direction. In exchange you get real ownership of a focus area, significant internal and external visibility, and leadership that protects your time rather than managing your calendar. We're looking for someone who can hit the ground running - shipping meaningful work within their first two weeks.

This is a full-time, fully remote position based in the United States. This role reports to the Director of Community, Developer Experience & AI.

What You'll Do
  • Design and build prototypes, reference implementations, and example repositories that show practitioners how to get real work done with our tools
  • Create working prototypes that validate product direction and accelerate engineering iteration
  • Build tooling that removes friction from common analytics engineering workflows
  • Author technical content for the dbt Developer Blog, guides, and documentation that makes complex concepts actionable for practitioners
  • Publish knowledge and best practices on data and analytics engineering that establish you as a resource in your product area
  • Develop enablement resources for internal teams and the dbt Community, and contribute to product launches as a subject matter expert
  • Represent your product area as a community voice across Community Slack, GitHub, conferences, and public forums
  • Collect and synthesize community feedback, surfacing insights to product and engineering, and bring the practitioner perspective into product design reviews
  • Identify and flag sharp edges, regressions, or gaps in the developer experience
  • Maintain and triage relevant open source repositories and community projects, contributing code and design reviews with an eye toward developer ergonomics
Skills We're Looking For
  • 5+ years in data engineering, analytics engineering, or a closely related field, with strong general knowledge of the data industry and how it is changing
  • Hands-on dbt knowledge and practitioner-level fluency
  • Expert public communication in both spoken and written technical contexts, with a track record of published articles or public-facing content on data or analytics engineering - we will want to read and watch your work
  • Strong data and analytics engineering fundamentals, including comfort with Python and SQL and the ability to contribute to open source codebases
  • Comfort and familiarity with AI, and enthusiasm for adapting AI into how you work
  • Ability to work autonomously as a self-starter, delivering high-quality output with minimal direction, with the operational rigor to set priorities and communicate them clearly at multiple cadences
  • Strong product sense, the ability to translate user needs into concrete product feedback, and genuine enthusiasm for a public-facing role over internal product or engineering work
Bonus Skills
  • An existing footprint in the dbt Community, or prior hands-on use of dbt tools
  • Background in developer relations, developer experience, or developer advocacy at a developer tools company
  • Experience building with or for AI coding agents, and fluency with how the AI agent ecosystem is evolving
  • Contributions to open source projects in the data ecosystem (packages, adapters, community tools)
  • Public speaking experience at data or developer conferences, and experience with Fusion and the dbt platform

#LI-Remote #LI-VD1

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Zone A Pay Range - $163,886 - $204,857 USD

Zone B Pay Range - $152,968 - $191,210 USD

Zone C Pay Range - $142,050 - $177,562 USD