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Data Engineer Data Jobs in South Fulton, GA (NOW HIRING)

ACI Infotech

Sr Data Engineer

Atlanta, GA · Hybrid

$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 ...

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

Pwc

Data Engineer - Senior Manager

Atlanta, GA

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Tata Consultancy Service Limited

Data Engineer

Atlanta, GA · On-site

$120K - $140K/yr

Must Have Technical/Functional Skill We are looking for a Data Engineer to design, build, and maintain scalable ETL pipelines supporting both batch and real-time data ingestion. The ideal candidate ...

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 ...

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 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 ...

SmartIPlace

Data Engineer

Atlanta, GA · On-site

$60 - $68/hr

Top Skills' Details 1- Databricks data modeling w/ Python 2- Azure ETL / Data analysis 3- Spark/Hive/Airflow 5-10 Years Focused on manipulating data in a software engineering capacity. Some of that ...

Diverse Lynx

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Diverse Lynx is seeking a GCP Data Engineer to join their team. The role involves defining data requirements, developing data pipelines, and collaborating with data science and business intelligence ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Deloitte

AI and Data Science Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

Frch Nelson

Data Engineer

Atlanta, GA · On-site +1

$75K - $145K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports design, planning, construction analytics, and business operations across the firm. This role focuses on ...

OneDigital

Data Engineer

Atlanta, GA

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure + Snowflake, where AI coding agents are first-class contributors to the dev workflow. You'll join a small ...

OneDigital

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Our Newest Opportunity: We're building a modern, AI-native data engineering function on Azure + Snowflake, where AI coding agents are first-class contributors to the dev workflow. You'll join a small ...

Prophecy Technologies

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Role Name: Sr. Data Engineer Location: Atlanta, GA Experience: 6-8+ Years Roles & Responsibilities: * Drive world-class design and development of analytical data pipelines. * Adhere to processes to ...

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 ...

Pwc

Data Strategy-Manager

Atlanta, GA

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Deloitte

Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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 - 3 days on-site) We are looking for a highly capable Data Engineer to design, build, and maintain ...

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Showing results 1-20

All JobsData Engineer Data JobsData Engineer Data Jobs in South Fulton, GA

Data Engineer Data information

See South Fulton, GA salary details

$43.6K

$156.5K

$230.9K

How much do data engineer data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer data in South Fulton, GA is $156,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $161,200.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What job categories do people searching Data Engineer Data jobs in South Fulton, GA look for? The top searched job categories for Data Engineer Data jobs in South Fulton, GA are:
What cities near South Fulton, GA are hiring for Data Engineer Data jobs? Cities near South Fulton, GA with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Sr Data Engineer

Sr Data Engineer

ACI Infotech

Atlanta, GA • Hybrid

$110K - $132K/yr

Other

Posted yesterday

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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