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Data Engineer Jobs in Atlanta, GA (NOW HIRING)

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

Daimler AG

Prinicipal, Data Engineer

Atlanta, GA · On-site

$140 - $200/hr

We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data engineering. This role defines complex problem spaces, sets architectural direction, and delivers ...

Daimler

Prinicipal, Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking a Principal Data Engineer to serve as a senior technical leader for enterprise data engineering. This role defines complex problem spaces, sets architectural direction, and delivers ...

Speria

Data Engineer

Atlanta, GA · On-site

$95 - $150/hr

Job Summary We are seeking a highly skilled and motivated Data Engineer to join our dynamic team at Speria MTech. The ideal candidate will play a crucial role in designing, building, and maintaining ...

Mercedes-Benz Group

Prinicipal, Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The Principal Data Engineer operates effectively in high-ambiguity environments, owns outcomes and business impact, and establishes standards, frameworks, and reusable engineering patterns adopted ...

FanDuel

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

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 ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 3 days a ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Duration: FULL TIME (Accepting H1B Transfer ) Location: Atlanta, GA - On-Site ( Hybrid) Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

Mindlance

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

Mindlance is a confidential company seeking a Modern Data Engineer with extensive experience in data engineering roles. The role involves building and optimizing data pipelines, supporting analytics ...

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 ...

4pconsultinginc

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer 3 Location: Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity ...

ProArch

Data Engineer

Atlanta, GA · Remote

$117K - $140K/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 ...

Annmashburn

Data Engineer

Atlanta, GA · On-site

$90 - $130/hr

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 ...

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 ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Atlanta, GA

Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for 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 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 Atlanta, GA?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Sr Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 14 hours ago

Job description

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role)
Location: Atlanta, GA
Duration: FULL TIME / C2H
Mode: Hybrid ( 3 days a Week)
This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the development and roll-out of world-class modern Marketing Data Engineering capabilities at Client. This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that leverage world-class technology to create personalized, relevant, data-driven experiences. In this role, you will lead teams designing and building Data & BI solutions that capture, explore, transform, and utilize curated data to support Marketing Business Unit's Data-driven transformation journey and decision-making process. In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore.
Duties and Responsibilities: (Scope of the role, day to day activities, expected outcomes, highlights any complexities associated with the role)
Thought Leadership (20%)
Provides industry thought leadership to fellow team members across business and technical project dimensions, solving complex business requirements.
Proactively considers the future state of the organization and how technology can support these efforts.
Advocates and define Marketing Data Engineering vision from a strategic perspective, including internal and external platforms, tools, and systems.
Maintains overall MarTech industry Data knowledge on latest trends, technology, etc.
Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis.
focusing on individual's professional development as well as overall team health and technical proficiency on their assigned project tasks.
Conducts product work reviews with team members.
Serves in the development of team members by actively facilitating new learning opportunities and experiences in the Data Engineering space.
Development (20%)
Design and implement scalable data solutions on Azure platform using Data Factory, Databricks, PySpark, Python and other related services.
Build data pipelines and workflows to ingest, transform, and load data from various sources.
Develop and maintain data models and schemas for efficient data storage and retrieval.
Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions. Lead development and production deployment of analytic Data and BI products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
Collaborations (20%)
Collaborate and maintain relationships with cross-functional teams (Cloud Infra, Enterprise Data & IT-SEC) to ensure data solutions meet business requirements.
Continuously evaluate and recommend new data technologies and approaches to improve data solutions.
Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends; understanding how to apply them and sharing knowledge with coworkers.
Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner.
Partner with Enterprise Data management & information security colleagues to ensure the adherence of Data Governance standards for Client.
Data Engineering Lead (Marketing)
Delivery Management (20%)
Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
Stay ahead of the impediments to ensure a smooth, on time and in budget, implementation of Data Projects
Collect weekly status updates from Dev teams across multiple Data POD teams and consolidate for leadership project health reporting.
Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Bachelor's degree in computer science, Information Technology or a related study, or equivalent experience
5+ years of hands-on Data Engineering experience with On-Prem and Cloud based Data tools/Platforms,
3+ years of experience in data engineering with expertise specifically in Azure Data Factory, Databricks, PySpark, Python and related services.
Proven experience in leading and managing technical teams in data engineering and analysis.
Experience in designing and developing data models and schemas.
Strong proficiency in programming languages such as Python.
Experience in developing and maintaining CI/CD pipelines for automated deployment and testing.
Good understanding of cloud computing and its services (e.g., Azure, AWS, Google Cloud Platform).
Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Data lakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization
Skilled leading and/or participating in system design and architectural activities including technical requirement writing experience and ability to lead collaboration sessions for important design reviews and decisions.
Proven experience succeeding in complex, matrix and cross-functional projects
Ability to personally deliver large scale initiatives in a fast-paced environment with high levels of complexity and ambiguity
Experience and comfort managing indirect teams; scrums, agile cross functional teams, vendor stakeholders
Strong collaboration skills and the ability to work in a team-based environment including employees, vendors and third-party contractors
Ability to inspire, influence and collaborate across a wide range of constituents across functions and organizational levels
Excellent mentoring skills and the desire to contribute to efforts beyond the scope of the day-to-day project work
Excellent written, presentation and oral communication skills
Knowledge of technical architecture as a role discipline
Good to have, but not mandatory:
Experience working with Loyalty Management data, and other Marketing business processes data
Experience with Campaign Management, Customer Data Platforms, Content Management, Advertising Technology, Personalization Engines as a Solution, etc., Tech Skills:
Data Engineering Lead (Marketing)
Microsoft Azure Cloud: Azure Data Factory, APIM, Function Apps, Logic Apps, Key Vault, Azure App Insights, Azure SQL, Azure DevOps
Databases: Azure SQL, Databricks, MongoDB,
DevOps: GitHub, Azure DevOps, CI/CD Pipelines
Programming Languages: SQL, PYTHON, SCALA, R
API Development: Azure APIM, REST APIs, web services, security such as Oauth2, SAML, IDM, open API standards like swaggers, RAML, developer portal,
API Testing: Postman,
Log Analytics: Splunk, Dynatrace
Web/Mobile App Analytics: Google Analytics, Firebase, Google Tag management
Architecture modeling: Lucid Chart, Visio, ARIS, etc.,
Software development Experience using SaFe Agile methodologies.

ACI (Advanced Computing International) is a Global Technology Services, Products & Solutions Company focused on designing and delivering the next generation applications and digital experiences for businesses and consumers. We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed Infrastructure Services & Industry Specific Solutions.

Leveraging the insights gained from working on innovative solutions and disruptive technologies, ACI develops Solutions to enhance business performance, accelerate product & applications time-to-market, harmonize Consumer Experiences and streamline their business operations. ACI works with clients across different business sectors: Financial Services, Healthcare, Manufacturing, Hi-Tech, Media, Utilities, Public sector, Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on Innovation and co-existence to build a collaborative ecosystem where companies and consumers win.

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