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Dbt Developer Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

We are seeking a Data Engineer to join our internal data team and take hands-on ownership of our existing data warehouse and dbt environment built on Google BigQuery. This role focuses on maintaining ...

Senior Analytics Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As the technical expert for the dbt and Sigma ecosystem, you will mentor other engineers, promote engineering excellence, and ensure the analytics layer is reliable, scalable, and easy to consume.

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... * DevOps experience preferred * Experience working with cloud data warehouses (Databricks ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... * DevOps experience preferred * Experience working with cloud data warehouses (Databricks ...

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

We are seeking a Data Engineer to join our internal data team and take hands-on ownership of our existing data warehouse and dbt environment built on Google BigQuery. This role focuses on maintaining ...

Manager, Data Engineering

Atlanta, GA · On-site

$120 - $150/hr

Support and review dbt models, transformations, and orchestration workflows * Implement ... Improve developer experience, onboarding, and engineering productivity * Collaborate with Data ...

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

Support and review dbt models, transformations, and orchestration workflows * Implement ... Improve developer experience, onboarding, and engineering productivity * Collaborate with Data ...

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

Support and review dbt models, transformations, and orchestration workflows * Implement ... Improve developer experience, onboarding, and engineering productivity * Collaborate with Data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Contribute to data transformations using dbt (training provided if needed) * Work with senior engineers to understand orchestration and scheduling concepts Data Quality & Reliability * Help implement ...

Manager, Data Engineering

Atlanta, GA · On-site

$110K - $132K/yr

Support and review dbt models, transformations, and orchestration workflows * Implement ... Improve developer experience, onboarding, and engineering productivity * Collaborate with Data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Contribute to data transformations using dbt (training provided if needed) * Work with senior engineers to understand orchestration and scheduling concepts Data Quality & Reliability * Help implement ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... * DevOps experience required * Experience working with cloud data warehouses (Databricks or ...

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Showing results 1-20

Dbt Developer information

See Georgia salary details

$14

$44

$69

How much do dbt developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for dbt developer in Georgia is $44.62, according to ZipRecruiter salary data. Most workers in this role earn between $34.09 and $54.62 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.

What are popular job titles related to Dbt Developer jobs in Georgia?

For Dbt Developer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Dbt Developer jobs in Georgia look for?

The top searched job categories for Dbt Developer jobs in Georgia are:

What cities in Georgia are hiring for Dbt Developer jobs?

Cities in Georgia with the most Dbt Developer job openings:

Infographic showing various Dbt Developer job openings in Georgia as of August 2026, with employment types broken down into 75% Full Time, 4% Part Time, 18% Contract, and 3% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $92,802 per year, or $44.6 per hour.

Data Engineer

Mashburn, LLC

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 10 days ago


Job description

WHAT IS THE BRAND?
Mashburn is an Atlanta-based apparel and lifestyle brand founded in 2007. The company designs, manufactures, and markets a nationally recognized assortment of menswear (Sid Mashburn) and womenswear (Ann Mashburn), and other high-quality, iconic brands. Mashburn aims to be the best in American style and service... a brand that offers luxury-quality product at accessible prices, delivered with a memorable customer experience, and driven by a deeply personal brand voice that expresses the passion and inspiration of our founders.
WHAT IS THE JOB?
We are seeking a Data Engineer to join our internal data team and take hands-on ownership of our existing data warehouse and dbt environment built on Google BigQuery. This role focuses on maintaining and enhancing an established analytics stack and data models that are currently supported in part by external developers. The primary goal is to bring more of this work in-house by developing a deep understanding of business processes and translating requirements directly into reliable data transformations. Implementing new data sources and new data models will also be key to the position.
The Data Engineer will partner closely with BI developers and business stakeholders to deliver trusted, analytics-ready datasets that support reporting and decision-making across the organization. While this role does not develop dashboards or reports, it plays a critical role in ensuring the quality, consistency, and usability of the data that powers them.
This is an individual contributor position with no people management responsibilities. Over time, the role will assume greater ownership of key data domains, more complex transformations, and broader responsibility for ensuring the accuracy and reliability of the organization's data assets. Success in this role will be measured by improved delivery speed, reduced reliance on external development, and increased trust in data used across the business.
WHAT ARE THE RESPONSIBILITIES?
  • Maintain, extend, and improve an existing dbt project and BigQuery data warehouse
  • Develop and optimize SQL transformations that accurately reflect business logic
  • Work directly with business stakeholders to understand processes and data usage
  • Manage existing and build new ELT pipelines
  • Implement changes in dbt
  • Refactor inherited models for clarity, performance, and reliability where appropriate
  • Integrate data from external systems and APIs (rest, graphql, etc)
  • Partner with Power BI developers to ensure datasets support accurate reporting
  • Contribute to data quality through testing, documentation, and validation
  • Leverage AI-assisted development tools (e.g., Cursor, Claude, etc) to amplify your abilities, enhance productivity, and problem solving but not as a replacement for skill, judgement, or ownership

WHAT ARE THE ESSENTIAL SKILLS?
  • 2-4+ years of professional experience writing SQL and performing data transformations using dbt
  • Hands-on experience using dbt in a production analytics environment
  • Experience working with Google BigQuery, Snowflake, or Databricks
  • Ability to navigate, understand, and improve existing data models written by others
  • Enjoy working in a team environment and collaborating across departments to understand the business and how that impacts the data
  • Strong ability to learn and understand business processes and apply them to data logic
  • Experience interfacing with APIs (rest and/or graphql)
  • Strong communication skills and a collaborative, team-oriented mindset

Reflects our core values of hopeful, helpful, hardworking, humble, nimble, hospitable and honest.