ZipRecruiter

Log In

1

Dbt Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Cox Communications, Inc.

Lead Data Engineer

Atlanta, GA · On-site

$160K - $183K/yr

Engineer right-sized solutions for complex business problems focused on building patterns to ... Performing data transformation and modeling in dbt (Data Build Tool) and schema design, including ...

Cox Communications, Inc.

Lead Data Engineer

Atlanta, GA · On-site +1

$160K - $183K/yr

Engineer right-sized solutions for complex business problems focused on building patterns to ... Performing data transformation and modeling in dbt (Data Build Tool) and schema design, including ...

Mashburn, LLC

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 ...

Mashburn, LLC

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 ...

Global Payments

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and ... Experience leveraging dbt (data build tool) to create modular, scalable, and well-governed data ...

Global Payments

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We're looking for a Data Engineer to join our ever evolving Data Engineering & Platform Team and ... Experience leveraging dbt (data build tool) to create modular, scalable, and well-governed data ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Hands-on experience with dbt. * Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL, data modeling, and query optimization. * Experience with CI/CD tools ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Hands-on experience with dbt. * Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL, data modeling, and query optimization. * Experience with CI/CD tools ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience with dbt. * Proficiency in programming languages such as Python, Java, or Scala. * Strong knowledge of SQL, data modeling, and query optimization. * Experience with CI/CD tools ...

Intellyk Inc.

Sr. Java Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... e.g., dbt) • Experience building data pipelines supporting a variety of integration and ... Required : • 5+ years of software/data engineering experience using Java, Scala, and/or Python ...

Sovos Compliance

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our ... data engineering, with a track record of building and maintaining production pipelines and dbt ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid ... DBT or Dataform for transformations * Docker, Kubernetes for Containerization * Snowflake ...

next page

Showing results 1-20

All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Atlanta, GA

Dbt Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do dbt data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for dbt data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Dbt Data Engineer jobs in Atlanta, GA?

For Dbt Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Dbt Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Dbt Data Engineer jobs?

Cities near Atlanta, GA with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Population Health Data Engineer

Rex, GA • On-site

Software Technology Inc
See more jobs at Software Technology Incexternal

$106K - $127K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.

Apply