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Data Engineering Jobs in Georgia (NOW HIRING)

Reply

Manager, Data Engineering

Atlanta, GA · On-site

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

Reply

Manager, Data Engineering

Atlanta, GA · On-site

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams. * Collaborate with security and compliance teams to ensure data governance standards are met. Performance ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams. * Collaborate with security and compliance teams to ensure data governance standards are met. Performance ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams. * Collaborate with security and compliance teams to ensure data governance standards are met. Performance ...

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

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 ...

XTG

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ... Software Engineering, or a related field, or equivalent professional experience. 4+ years of ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Core Responsibilities Enterprise Data Engineering * Design, build, and maintain batch and/or streaming data pipelines * Develop and optimize ETL processes using SSIS or similar tools * Work with ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

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 ( 2 days a ...

STEMtech

Data Engineer

Atlanta, GA

$110K - $132K/yr

... the data Engineering routines Designs and develops the Data Engineering routines for feature extraction, feature generation and feature engineering Works with the group of data scientists and ...

STEMtech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... code the data Engineering routines • Designs and develops the Data Engineering routines for feature extraction, feature generation and feature engineering • Works with the group of data ...

Dlapiper

Data Engineer

Atlanta, GA

$110K - $132K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

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Showing results 1-20

All JobsData Engineering JobsData Engineering Jobs in Georgia

Data Engineering information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data engineering jobs pay per year?

As of Jul 24, 2026, the average yearly pay for data engineering in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What are popular job titles related to Data Engineering jobs in Georgia? For Data Engineering jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Georgia look for? The top searched job categories for Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Data Engineering jobs? Cities in Georgia with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Georgia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $139,338 per year, or $67 per hour.
Manager, Data Engineering

Manager, Data Engineering

Reply

Atlanta, GA • On-site

Full-time

Posted 28 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.

At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.

Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables
Minimum Requirements
  • Bachelor’s degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.