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Dbt Data Engineer Jobs in Georgia (NOW HIRING)

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Translate business questions into engineering tasks and contribute to technical planning ... Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Translate business questions into engineering tasks and contribute to technical planning ... Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Translate business questions into engineering tasks and contribute to technical planning ... Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Overview Summary/Objective The Lead Data Engineer owns the Navanta data backbone - public Call ... Polaris / Nessie / Lakekeeper Transform & query: dbt; Trino / Presto / DuckDB CDC & streaming:

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Overview Summary/Objective The Lead Data Engineer owns the Navanta data backbone - public Call ... Polaris / Nessie / Lakekeeper Transform & query: dbt; Trino / Presto / DuckDB CDC & streaming:

Data Engineer Technology

Duluth, GA · On-site

$105K - $126K/yr

Data Engineer - Technology We are seeking a Data Engineer to help build and modernize our data ... dbt, Airflow, or Step Functions. • Strong communication skills, with the ability to explain ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Data Engineer

Atlanta, GA · On-site

$116 - $145/hr

Translate business questions into engineering tasks and contribute to technical planning ... Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.

Senior Data Engineer

Duluth, GA · On-site

$97K - $132K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Senior Data Engineer

Duluth, GA · On-site

$97K - $132K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

senior Data Engineer

Duluth, GA · On-site

$120 - $180/hr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Senior Data Engineer

Duluth, GA · On-site

$97K - $132K/yr

Create and maintain reusable dbt models that support enterprise reporting, analytics, and self ... Strong Python programming experience * Experience building scalable data pipelines and ...

Data Engineer Technology

Duluth, GA · On-site

$105K - $126K/yr

Data Engineer - Technology We are seeking a Data Engineer to help build and modernize our data ... dbt, Airflow, or Step Functions. • Strong communication skills, with the ability to explain ...

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 ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

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 ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

Lead Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

Summary/Objective The Lead Data Engineer owns the Navanta data backbone -- public Call Report data ... Polaris / Nessie / Lakekeeper · Transform & query: dbt; Trino / Presto / DuckDB · CDC & streaming:

Showing results 21-40

Dbt Data Engineer information

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What cities in Georgia are hiring for Dbt Data Engineer jobs?

Cities in Georgia with the most Dbt Data Engineer job openings:

Infographic showing various Dbt Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data Engineer 2026- US

Aimpoint Digital

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Posted 27 days ago


Job description

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
You will:
  • Become a trusted data and AI advisor to our clients, from data owners and analytic users to executive stake holders helping them translate business questions into AI-ready data architectures
  • Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
  • Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers that support LLM-driven analytics, natural language querying, and agent-based workflows
  • Build and evolve semantic and analytical layers that power tools like Snowflake Cortex, Databricks Genie, BI platforms, and emerging AI Copilots
  • Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native orchestration frameworks to deliver scalable solutions, and credentialize your skills with certifications
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases
  • Design modern data models with an emphasis on metrics layers, knowledge graphs, and semantic consistency for AI consumption
  • Write production-ready code in SQL, Python, and Spark, following software engineering tools and best-practices such as Git and CI/CD
  • Apply AI-assisted data engineering techniques for data exploration, quality checks, schema generation, documentation, lineage, and transformation acceleration
  • Contribute to the evolution of our AI-forward data engineering and infrastructure practice, including internal accelerators, patterns, and client-ready architectures
  • Collaborate with analytics, data science, and ML project teams to productionize AI-enabled analytics, features, and inference pipelines. Note: You will not be developing machine learning models or algorithms

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical tools that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Lead Data Engineer, you will be expected to work independently on client engagements or to lead small team project delivery, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 5+ years working with relational databases and query languages
  • 5+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 5+ years data modeling (e.g. star schema, entity-relationship, data vault)
  • 5+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
  • 5+ years' experience with dbt Core/Cloud preferred
  • Experience enabling or accelerating data platform engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Ability to manage an individual workstream independently and ability to manage a small 1-2 person team
  • Expertise in software engineering concepts and best practices
  • DevOps experience required
  • Experience working with cloud data warehouses (Databricks or Snowflake required)
  • 1 or more certifications in either Databricks or Snowflake strongly preferred
  • Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
  • Experience working with Apache Spark preferred
  • Experience preparing data for analytics and following a data science workflow to drive business results preferred
  • Consulting experience strongly preferred
  • Willingness to travel

We are actively seeking candidates for full-time, remote work within the US. Atlanta applicants will have the opportunity to work from headquarters in Sandy Springs, GA.