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Dbt Developer Jobs in Georgia (NOW HIRING)

Mashburn, LLC

Data Engineer

Atlanta, GA · On-site

$108.70K - $130.50K/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 ...

Zealogics Inc

Software Developer

Alpharetta, GA · On-site

This hands-on engineering role involves building scalable systems and collaborating with cross ... DBT, Kafka) • Experience with 3rd party security tools (e.g., Wiz, Snyk, Qualys, etc) • ...

New

LevelUp Squared

Analytics Engineer

Suwanee, GA

Develop and maintain data models in DBT, including testing, documentation, and lineage * Optimize ... Engineering, or advanced BI within a modern data stack * Hands-on experience with DBT (or ...

Purple Drive Technologies

GCP Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Overview: We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data ...

Deckers

Establish and enforce dbt development standards, including model design, documentation, testing, CI ... developer productivity Who You Are * Bachelor's degree required, preferably in Computer Science ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/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 ...

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How much do dbt developer jobs pay per hour?

As of May 29, 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 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.

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:
Dbt Developer jobs near you
Infographic showing various Dbt Developer job openings in Georgia as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 17% Physical, 11% Hybrid, and 72% Remote job distribution, with an average salary of $92,802 per year, or $44.6 per hour.

Senior Data Engineer ( GCP/DBT/SQL)

Purple Drive Technologies

Atlanta, GA • On-site

$101.90K - $138.50K/yr

Full-time

Posted 14 days ago

Job description

Overview:
Role: Senior Data Engineer ( GCP/DBT/SQL)
Location: Hybrid - Atlanta / Dallas / Houston / Chicago / NY-NJ
Key Responsibilities:
• Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
• Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
• Write complex and optimized SQL queries for data extraction, transformation, and analysis.
• Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Monitor and troubleshoot data pipeline performance and data quality issues.
• Automate data workflows and tasks using Python scripts where necessary.
• Ensure data governance, security, and compliance standards are met.
Required Qualifications:
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 4-5 years of experience in data engineering or a similar role.
• Strong expertise in SQL with the ability to write efficient, complex queries.
• Proficiency in DBT for data modeling and transformation
• Hands-on experience with BigQuery and other GCP data services.
• Solid understanding of data warehousing principles and best practices.
• Basic to intermediate skills in Python for scripting and automation.
• Familiarity with version control systems like Git.
• Excellent problem-solving and communication skills.

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