1

Data Engineering Jobs in Georgia (NOW HIRING)

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 ...

This role involves providing technical leadership, managing a team, and ensuring the successful execution of data engineering and analytics initiatives. Responsibilities : • Own the end-to-end ...

GCP Data Engineer

Alpharetta, GA

$111K - $134K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

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 ...

Jr. Big Data Developer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer Big Data & AI Bootcamp · Atlanta, GA · Full-Time W2 Employment Stop waiting for the ... Are ready to go deep on AI/ML engineering, not just learn the buzzwords * Are willing to relocate ...

Experience in Data Engineering, Data Analytics, or a related field. * Strong expertise in SQL , including advanced querying, joins, indexing, and execution plans. * Proven experience with SQL ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering or related field * Proven QA experience across integrated software and data platforms * Experience validating front-end ...

$97K - $117K/yr

Head of Data Engineering and Platforms - South Bank, QLD Apply now Refer a friend Job no: 530661SJ Brand: Product and Technology Work type: Full time Location: Queensland Categories: Digital and ...

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with ...

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 ...

Data Engineer

Atlanta, GA · On-site +1

$105K - $140K/yr

Develop and execute well-defined data engineering tasks - creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards * Orchestrate ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Collaborate cross-functionally to deliver high-quality data engineering solutions About You * 3-5 years of experience building data pipelines in production or near-production environments * Hands-on ...

Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

Collaborate cross-functionally to deliver high-quality data engineering solutions About You * 3-5 years of experience building data pipelines in production or near-production environments * Hands-on ...

Data Engineer

Alpharetta, GA

$107K - $129K/yr

Collaborate cross-functionally to deliver high-quality data engineering solutions About You * 3-5 years of experience building data pipelines in production or near-production environments * Hands-on ...

next page

Showing results 1-20

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 5, 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 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:
Infographic showing various Data Engineering job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.
Data Engineer

Data Engineer

STEMtech

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Posted 4 days ago


Job description

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 back office data sources into a format that is easily digestible by both data scientists and statistically adept colleagues. His/her core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other stakeholders. In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management
Job Description
• Create data ingestion pipeline and processes based on jointly defined requirements
• Profile and analyze data to identify gaps and potential data quality issues; works with business SME's to resolve these issues
• Identifies relationships between disparate data sources
• Uses Python, "R", Informatica, and other Big Data tools and technologies to 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 scientists and business SMEs to get the requirements and present the details in data
• Designs and jointly develops the data architecture with data architect and ensures security and maintenance
• Explores suitable options, designs, and creates data pipeline (data lake / data warehouses) for specific analytical solutions
• Identifies gaps and implements solutions for data security, quality and automation of processes
• Builds data tools and products for effort automation and easy data accessibility
• Supports maintenance, bug fixing and performance analysis along data pipeline
• Diagnoses existing architecture and data maturity and identifies gaps
• Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals
Qualifications
• 8-10 years of experience in data engineering and Data Lake using any Hadoop ecosystem
• Bachelor's Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Master's or other advanced degree a plus
• Previous leadership experience
• Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc.
• Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle etc in production environments
• Experience with reporting and BI packages e.g. PowerBI, Tableau, SAP BO etc.
• Strong critical thinking and problem solving skills
• Success at working on cross-functional teams to meet a common goal
• Self-starter with a high sense of urgency
Additional Information
All your information will be kept confidential according to EEO guidelines.