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Dbt Developer Jobs (NOW HIRING)

dbt Labs

Manager, Software Engineering

$186K - $225K/yr

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

dbt Labs

Manager, Software Engineering

OR · On-site +1

$186K - $225K/yr

Move dbt beyond a UI-driven tool by building the APIs and services required for agents to reason ... A passion for Developer Tools: You understand the workflow of a data engineer and how tools like ...

dbt Labs

Senior Data Engineer

$108.50K - $147.40K/yr

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

dbt Labs

Senior Customer Solutions Engineer - US

$56.50 - $73/hr

... or supporting dbt * Experience with SAML , especially with Azure AD or Okta * Working knowledge of API scripting (using access tokens), CI/CD pipelines (GitHub, Gitlab, Azure DevOps), or ...

dbt Labs

Senior Engineering Manager - Infrastructure

$111.10K - $151K/yr

... dbt platform across AWS, Azure, and GCP. Our team's mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform. Over the past year ...

dbt Labs

Product Manager - Fusion

OR · On-site +1

Keep the Fusion engineering team aligned, unblocked, and executing on a predictable cadence * Contribute hands-on to the dbt Core / Fusion codebases, including code reviews, documentation, and small ...

Purple Drive Technologies

Data Engineer

San Antonio, TX · On-site

$103.30K - $124K/yr

Build and optimize ELT transformations leveraging DBT and Python . * Create and manage data ... Programming Languages: Python, SQL * Databases: Netezza, AWS S3, Snowflake * Data Modeling: Logical ...

dbt Labs

Senior Platform Software Engineer, Transport

$125.40K - $165.30K/yr

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

Purple Drive Technologies

Data Engineer

San Antonio, TX · On-site

$103.30K - $124K/yr

The ideal candidate will have hands-on experience with IBM DataStage, Informatica, dbt, and modern ... Programming: Python * Databases: Netezza, AWS S3, Snowflake * Processes: CI/CD, Data Modeling, Data ...

dbt Labs

Senior Engineering Manager - Infrastructure

OR · On-site +1

$223K - $270K/yr

... dbt platform across AWS, Azure, and GCP. Our team's mission is to create a seamless developer experience by providing a stable, observable, and easy-to-use infrastructure platform. Over the past year ...

dbt Labs

Majors Sales Director (Boston)

$300K - $380K/yr

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

dbt Labs

Product Manager - Fusion

About Us dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the ...

dbt Labs

Senior Customer Solutions Engineer - US

OR · On-site +1

$55.25 - $71.25/hr

... or supporting dbt * Experience with SAML , especially with Azure AD or Okta * Working knowledge of API scripting (using access tokens), CI/CD pipelines (GitHub, Gitlab, Azure DevOps), or ...

dbt Labs

Resident Architect

Manhattan, NY · On-site +1

$114K - $137.70K/yr

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we've grown from an open source project into the leading ...

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How much do dbt developer jobs pay per hour?

As of May 30, 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 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.

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 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.

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.

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Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 16% Physical, 11% Hybrid, and 73% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Data Engineer (DBT Specialist)

ACS Consultancy Services

Albany, NY • Remote

$117.20K - $140.70K/yr

Other

Posted 5 days ago

Job description

Job Title: Data Engineer (DBT Specialist)

Location: Remote

We are currently seeking candidates who meet the following qualifications.

Key Responsibilities

  • Design and implement scalable data models and transformation pipelines using DBT (Data Build Tool).
  • Build and maintain ELT workflows using tools like Airflow, Fivetran, or custom Python scripts.
  • Work with data warehouses such as Snowflake, BigQuery, or Redshift to optimize storage and performance.
  • Ensure data quality, governance, and consistency through testing, version control, and documentation in DBT.
  • Collaborate with analysts and stakeholders to understand data needs and deliver efficient, reusable models.
  • Monitor pipeline performance and troubleshoot issues across the data stack.
  • Implement and maintain CI/CD practices for analytics engineering.
  • Stay up-to-date with best practices in data modeling, pipeline architecture, and cloud data tools.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • Experience in data engineering or analytics engineering roles.
  • Strong hands-on experience with DBT in production environments.
  • Solid understanding of SQL and data warehousing principles.
  • Experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift).
  • Experience with Python or another scripting language for ETL/ELT tasks.
  • Experience with orchestration tools like Airflow, Prefect, or Dagster.
  • Git proficiency for version control and collaboration.
  • Strong communication and collaboration skills.
  • Federal Experience is a plus.
  • Required Security clearance.
    If you meet these qualifications, please submit your application via link provided in Linkedin.
    Kindly do not call the general line to submit your application.