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Data Engineer Jobs in Georgia (NOW HIRING)

AMB Sports & Entertainment

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

AEG

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll ...

Equifax, Inc.

Data Engineer

Alpharetta, GA · On-site

$111.80K - $134.20K/yr

As a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions ...

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and produce detailed data design documents, help translate business requirements to Technical requirements ...

STEMtech

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

AXIS Capital

Data Engineer

Alpharetta, GA · On-site +1

$111.80K - $134.20K/yr

As a Data Engineer, you will work closely with the Solution Engineer and Data Architecture teams to design, build, and operate data integration and analytics solutions. You will play a key role in ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

STEMtech

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Dlapiper

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Southern Trust Insurance Company

Data Engineer

Macon, GA

$109.80K - $131.90K/yr

Data Engineer Must be located in the Eastern or Central US Time Zone Travel: Occasional, based on project needs Reports To: Chief Information Officer We are seeking a skilled, hands-on Data Engineer ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

SPECTRAFORCE TECHNOLOGIES Inc.

Data Engineer

Smyrna, GA · Hybrid

$112K - $134.50K/yr

Data Engineer II Reports To: Financial & Reporting Applications Manager Location: Windy Hill Road Area (near I-75 / The Battery) - Hybrid (3 days onsite, subject to change) Summary Data Engineer II ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Synaptein Solutions inc

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Cushman & Wakefield

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

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All JobsData Engineer JobsData Engineer Jobs in Georgia

Data Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for data engineer in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

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.

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.

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 are Data Engineers?

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 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.

More about Data Engineer jobs
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What job categories do people searching Data Engineer jobs in Georgia look for? The top searched job categories for Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Engineer jobs? Cities in Georgia with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in GA? For Data Engineer jobs in GA, the most frequently searched job titles are:
Data Engineer jobs near you
Data Engineer

Data Engineer

AMB Sports & Entertainment

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Full-time

Posted 22 days ago

Job description

As a Data Engineer, you will own key parts of the pipeline lifecycle-from ingesting source data through transformation, testing, and publishing trusted datasets for downstream consumers. You'll partner closely with analysts and stakeholders to turn questions into durable data products, improve reliability and observability, and help standardize patterns that scale across teams. Success in this role looks like dependable pipelines, well-modeled data, and faster delivery of insights.
Responsibilities:
  • Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows to support analytics, reporting, and machine learning initiatives
  • Build and optimize data models (dimensional, relational) across structured and semi-structured data sources including ticketing, fan engagement, broadcasting, and sponsorship data
  • Develop and maintain production-grade Python applications and scripts for data transformation, API integrations, and automation
  • Engineer solutions on Databricks or Snowflake for large-scale data processing, lakehouse architecture, and advanced analytics
  • Build and deploy serverless data solutions using Azure Functions for event-driven processing and microservice integrations
  • Design and implement data orchestration workflows using platforms such as Apache Airflow and/or Astronomer to ensure reliable, monitored, and scalable pipeline execution
  • Manage version control, CI/CD pipelines, and collaborative development workflows using Git-based platforms (GitHub, Azure DevOps)
  • Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into technical solutions
  • Implement data quality frameworks, monitoring, and alerting to ensure data integrity and reliability across the platform
  • Contribute to the evolution of the data platform architecture, advocating for best practices in performance, security, and scalability
  • Participate in code reviews to uphold engineering standards

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent professional experience)
  • 3+ years of professional experience in data engineering or a related discipline
  • Strong relational database experience, including data modeling (star schema, snowflake schema, 3NF) and advanced SQL development (T-SQL, PL/SQL, or equivalent)
  • Proficiency in Python development for data engineering use cases (pandas, PySpark, API development, scripting, testing)
  • Hands-on experience with Databricks or Snowflake for data lakehouse/warehouse architecture and large-scale data processing
  • Experience building and deploying Azure Functions or similar serverless compute for data workflows
  • Working knowledge of Git-based platforms such as GitHub or Azure DevOps for version control, branching strategies, and CI/CD pipelines
  • Experience with data orchestration platforms such as Apache Airflow and/or Astronomer for pipeline scheduling, monitoring, and dependency management
  • Strong understanding of data warehousing concepts, ETL/ELT patterns, and data integration best practices
  • Excellent communication and collaboration skills with the ability to work cross-functionally in a fast-paced environment

Preferred Qualifications:
  • Industry certifications demonstrating proficiency in data engineering (e.g., Databricks Certified Data Engineer, Azure Data Engineer Associate DP-203, Snowflake SnowPro Core, Google Professional Data Engineer, AWS Data Engineer Associate)
  • Experience with a major cloud platform (Azure, AWS, or GCP) including infrastructure-as-code and cloud-native data services
  • Prior experience in sports, entertainment, media, or live events industries
  • Familiarity with streaming and real-time data technologies (Kafka, Event Hubs, Spark Structured Streaming)
  • Experience with data governance, cataloging, and lineage tools (Unity Catalog, Purview, Collibra)
  • Exposure to machine learning pipelines and MLOps practices
  • Experience with containerization (Docker, Kubernetes) and microservices architecture.

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