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Data Engineer Jobs in Dallas, GA (NOW HIRING)

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 ...

Socket.dev

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

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 ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 - Quality Assurance (AI & Data Platforms) Location: Atlanta, Ga 30309 Duration: 10 Months Client- Southern Company Gas Position Overview We are seeking an experienced Data Engineer ...

ProArch

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Advanced Data Engineering and Solution Design (80%) * Architect and implement scalable data pipelines to process and integrate structured and unstructured data. * Design end-to-end data solutions ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and ...

Grace Hire IT Staffing

Data Engineer (Full-time)

Atlanta, GA · On-site

$110K - $132K/yr

Role Description The Data Engineer role at Grace Hire IT Staffing is a full-time, on-site position based in Atlanta, GA. In this role, the Data Engineer will design, build, and maintain data ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$90 - $130/hr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and ...

Inspire Brands, Inc.

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

The Data Engineer II will also leverage Artificial Intelligence (AI), Generative AI, and AI-assisted development tools to improve development efficiency, automate data engineering workflows, and ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Reply

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Reply

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Inspire Brands

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$116 - $145/hr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power ...

4pconsultinginc

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Key Responsibilities Data Engineering & Pipeline Development * Design, build, and maintain scalable and reliable data pipelines * Combine raw data from multiple sources into clean, structured ...

Contact Government Services, LLC

Data Engineer

Atlanta, GA · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid - 3 days on-site) We are looking for a highly capable Data Engineer to design, build, and maintain ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Dallas, GA

Data Engineer information

See Dallas, GA salary details

$40.2K

$117.2K

$160.4K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Dallas, GA is $117,190.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $124,200.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Dallas, GA?

The most popular types of Data Engineer jobs in Dallas, GA are:

What are popular job titles related to Data Engineer jobs in Dallas, GA?

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Dallas, GA as of August 2026, with employment types broken down into 82% Full Time, 9% Temporary, and 9% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $117,190 per year, or $56.3 per hour.

Data Engineer

Mashburn, LLC

Atlanta, GA • On-site

$108K - $130K/yr

Full-time

Posted 22 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.

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