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Data Engineering Jobs in Georgia (NOW HIRING)

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 ...

GCP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required : • 7+ years of overall IT experience • 5+ years of experience in a data engineering/ETL role with a track record of manipulating, processing, and extracting value from large datasets ...

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 ...

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 ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Google Data Engineering Required Technical Skills: * ETL pipeline design and development * Data modeling and governance implementation * Data privacy, masking, and encryption techniques * Analytical ...

$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 ...

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/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 ...

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

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 ...

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 ...

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

Kennesaw, GA · On-site

$105K - $127K/yr

This role involves designing, building, and scaling a Customer Data Platform (CDP) to deliver a comprehensive Customer 360, focusing on data engineering, analytics enablement, and growth strategy.

Data Engineer

Atlanta, GA · Hybrid

$110K - $132K/yr

Strong problem-solving and troubleshooting skills in data engineering environments

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 ...

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Data Engineering information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data engineering jobs pay per year?

As of Jun 9, 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.

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 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.

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 May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution, with an average salary of $139,338 per year, or $67 per hour.
GCP Data Engineer

$111K - $134K/yr

Full-time

Posted yesterday


Job description

Local Candidate only, Alpharetta, GA
Overview
We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and optimize scalable data solutions. 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, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.
In this role, you will work closely with cross-functional teams to design robust data models and analytics solutions, utilizing your skills in BigQuery, Python, PySpark, LookML, SQL, GCP Data Studio, and GCP Data Flow. Your ability to tell compelling data stories and translate complex data into actionable insights will be crucial to your success.
Key Responsibilities:
-Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform (GCP).
-Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL.
-Utilize GCP Data Flow and other GCP services to automate data processing and orchestration.
-Leverage GCP Looker Studio to create insightful dashboards and reports that provide business value.
-Collaborate with data scientists, analysts, and other stakeholders to gather requirements and translate them into technical solutions.
-Conduct data analysis to identify trends, patterns, and insights to support data-driven decision-making.
-Apply advanced data modeling techniques to ensure data quality, integrity, and consistency.
-Manage and optimize the entire data lifecycle, from ingestion to archiving and deletion.
-Develop and implement best practices for data governance, security, and compliance on GCP.
-Communicate complex data findings to non-technical stakeholders through storytelling and data visualization.
Qualifications:
-Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field.
-8+ years of hands-on experience in data engineering, data modeling, and analytics on Google Cloud Platform (GCP).
-Proficient in BigQuery, LookML, Python, PySpark, and SQL for data processing and analysis. 

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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008