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Remote Dbt Coach Jobs (NOW HIRING)

dbt Labs

Manager, Software Engineering

OR · On-site +1

$186K - $225K/yr

... for dbt's specific agentic use cases. * Coach engineers in building "Agent-ready" codebases ... Essential for a remote-first culture and for documenting the "rules of engagement" for AI agents.

dbt Labs

Senior Engineering Manager - Infrastructure

OR · On-site +1

$223K - $270K/yr

Build, lead, and coach a team of 8-12 engineers to manage the infrastructure for the dbt platform ... Worked asynchronously as part of a fully-remote, distributed team * Have excellent written ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

Sr. Manager, Data & ML Engineering

Indiana, PA · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

Deckers

Sr. Manager, Data & ML Engineering

New York, NY · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Establish and enforce dbt development standards, including model design, documentation, testing, CI ...

SmarterDx

Data Engineering Manager

$190K - $210K/yr

This role is fully remote within the US** What You'll Do * Lead, coach, and develop a team of ... Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure ...

SqlDBM

Business Development Representative

$85K - $125K/yr

... dbt). * Run thoughtful outbound sequences across email, phone, LinkedIn, and video to engage Data ... Self-directed in a remote-first environment, organized, and coachable. Nice to Have * Experience ...

Interwell Health

Staff Data Engineer

Deep experience with Databricks, Python, dbt, and Microsoft Fabric, along with strong fluency in ... Mentor senior and mid-level engineers; elevate team capability through technical coaching and ...

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How much do remote dbt coach jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for remote dbt coach in the United States is $22.44, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Remote Dbt Coach vs Remote Data Analyst?

AspectRemote Dbt CoachRemote Data Analyst
Required CredentialsCertification in DBT, data coaching experienceDegree in Data Science, statistics, or related field
Work EnvironmentCollaborates with data teams, client-facing rolesAnalyzes data, creates reports, supports decision-making
Industry UsageUsed in analytics, healthcare, finance sectorsCommon across various industries for data insights

The main difference is that a Remote Dbt Coach specializes in guiding teams on DBT implementation and best practices, often requiring specific certifications. In contrast, a Remote Data Analyst focuses on analyzing data sets and generating insights without necessarily coaching on specific tools like DBT. Both roles are integral to data-driven organizations but serve different functions within the data ecosystem.

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Manager, Software Engineering

Manager, Software Engineering

dbt Labs

OR • On-site, Remote

$186K - $225K/yr

Other

Medical, Retirement, PTO

Posted 20 days ago

Job description

About the Team

You'll lead the AI Platform Team, the engine room for agentic workflows at dbt Labs. This team doesn't just build features; it builds the Agentic Platform that powers both our internal AI features and external AI integrations.

In this role, you can expect to:

  • Build, lead, and coach a team of 5-8 engineers focused on building a robust, scalable platform for AI agents.
  • Architect the "Agent-First" Experience: Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason, plan, and execute within the dbt ecosystem.
  • Define dbt's MCP Strategy: Lead the development of dbt MCP tools that allow Claude, Codex, and other LLMs to fetch context, validate SQL, and understand metrics without leaving their development environment.
  • Bridge Platform and Product: Partner with product teams to ensure that the AI Platform provides the necessary primitives (memory, tool-calling, and reasoning loops) for dbt's specific agentic use cases.
  • Coach engineers in building "Agent-ready" codebases-focusing on deterministic outputs from a non-deterministic world and the nuances of tool-use optimization.
  • Drive Technical Excellence: Establish the standards for how agents should interact with dbt Cloud, ensuring security, governance, and auditability are never compromised for autonomy.
Mandatory Skills
  • 3+ years in people management leading high-performing software engineering teams.
  • Experience with Agentic Architectures: You understand the lifecycle of an agentic loop (Plan -> Act -> Observe) and how to build infrastructure that supports it.
  • Technical Breadth in APIs & Protocols: Deep experience with API design, and ideally, familiarity with emerging standards like MCP (Model Context Protocol) or OpenAI Function Calling.
  • Software Engineering Fundamentals: You have a strong POV on how to maintain dbt's "Analytics Engineering" rigors (testing, CI/CD) in an AI-driven world.
You are a good fit if you have:
  • A passion for Developer Tools: You understand the workflow of a data engineer and how tools like Claude Code or Codex are changing that workflow.
  • Experience with Orchestration: You've built systems that manage state and context for LLMs.
  • Strategic Collaboration: You can partner with external AI labs and internal teams to ensure dbt is the preferred "data context" layer for all major LLMs.
You'll have an edge if you have:
  • Direct experience building or contributing to MCP servers.
  • Experience in the "Modern Data Stack": You understand the importance of the dbt Semantic Layer and how it acts as a "source of truth" for AI.
  • Excellent written communication skills: Essential for a remote-first culture and for documenting the "rules of engagement" for AI agents.
 Compensation & Benefits
Salary:We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Labs' total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.
  • The typical starting salary range for this role is: $186,000 - $225,000 USD
  • The typical starting salary range for this role in the select locations listed is: $206,000 - $250,000 US
Equity Stake

Benefits - dbt Labs offers:
  • Unlimited vacation (and yes we use it!)
  • 401k w/3% guaranteed contribution
  • Excellent healthcare
  • Paid Parental Leave
  • Wellness stipend
  • Home office stipend, and more!
*Equity or comparable benefits may be offered depending on the legal limitations
Our Hiring Process (All Video Interviews)
  • Interview with a Talent Acquisition Partner (30 Mins)
  • Technical Interview with Hiring Manager (60 Mins)
  • Team Interviews ( 4 rounds, 45 Mins each)

If you're passionate about building well-designed, high-impact software, we'd love to hear from you!

Apply