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Google Data Center Engineer Jobs in Georgia (NOW HIRING)

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Data Center Technician

Dalton, GA · On-site

$30 - $40/hr

Work closely with data center engineers, facilities teams, and vendors to support operational goals. Qualifications: * Experience : 2-3+ years of experience in data center operations, IT hardware ...

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Data Center - Talent Network

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our ...

Senior Data Center Technician

Atlanta, GA · On-site

$70K - $90K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Developers and end users at leading tech companies and big enterprises rely on MacStadium ... We are looking for a Data Center Technician to join our Atlanta team. This individual will lead ...

Senior Data Center Technician

Atlanta, GA · On-site

$70K - $90K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Developers and end users at leading tech companies and big enterprises rely on MacStadium ... We are looking for a Data Center Technician to join our Atlanta team. This individual will lead ...

Data Center - Talent Network

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for skilled engineers and managers to deliver world-class solutions for mission-critical environments. About JLL's Data Center Practice With specialized expertise and global reach, our ...

Data Center Field Engineer - Travel Team

Atlanta, GA

$40 - $45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Center Field Engineer - Dell PowerEdge Servers (Travel Team) Overview Join a high-impact team supporting some of the most advanced AI and enterprise computing environments in North America. We ...

Showing results 41-60

Google Data Center Engineer information

See Georgia salary details

$43.5K

$124.5K

$166.3K

How much do google data center engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for google data center engineer in Georgia is $124,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $165,500.00 per year, depending on experience, location, and employer.

What is a Google Data Center Engineer?

A Google Data Center Engineer is responsible for maintaining, troubleshooting, and optimizing the infrastructure that powers Google's data centers. They work with hardware, networking, and cooling systems to ensure high availability and efficiency. This role involves hands-on troubleshooting, server deployment, and collaborating with other teams to improve system reliability. Strong technical skills in networking, hardware maintenance, and Linux are essential for success in this position.

What does a Google Data Center Engineer do?

A typical day for a Google Data Center Engineer involves monitoring and maintaining servers, networks, and supporting infrastructure to ensure uptime and optimal performance. You'll regularly perform hardware diagnostics, address incidents or outages, and work on routine upgrades or preventative maintenance tasks. Collaboration with other engineers, network specialists, and operations staff is frequent, as teamwork is essential when troubleshooting complex issues or deploying new hardware. While some tasks are planned, the role also requires the flexibility to respond quickly to urgent technical challenges, ensuring Google's services remain robust and available to users worldwide.

What skills and qualifications are needed to be a Google Data Center Engineer?

To thrive as a Google Data Center Engineer, you need a strong background in hardware troubleshooting, network infrastructure, and systems administration, often supported by a degree in computer science, information technology, or a related field. Familiarity with server management tools, Linux/Unix operating systems, data center infrastructure management (DCIM) software, and relevant certifications such as CompTIA Server+ or Cisco CCNA is highly valuable. Strong problem-solving skills, attention to detail, and effective communication are essential for collaborating with teams and quickly resolving technical issues. These abilities ensure the reliability, efficiency, and security of critical Google data center operations.

Are Google Data Center Engineers in demand?

Google Data Center Engineers are in high demand due to the growth of cloud computing and data infrastructure needs. The role requires skills in networking, hardware maintenance, and troubleshooting, and often offers stable employment with competitive salaries. As data centers expand globally, demand for qualified engineers continues to increase.

What are the most commonly searched types of Google Data Center Engineer jobs in Georgia?

The most popular types of Google Data Center Engineer jobs in Georgia are:

What cities in Georgia are hiring for Google Data Center Engineer jobs?

Cities in Georgia with the most Google Data Center Engineer job openings:

Infographic showing various Google Data Center Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $124,513 per year, or $59.9 per hour.

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

Amazon

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,093 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon's culture, and your work will have a direct impact on decision making and strategy for our organization.
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills

They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible.

If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.

We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.


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Benefits

Hours and flexibility

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US