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Data Devops Jobs in Atlanta, GA (NOW HIRING)

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales ... We're looking for a Senior Data Developer to design and build scalable data integration solutions ...

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales ... We're looking for a Senior Data Developer to design and build scalable data integration solutions ...

Systems Engineer /Devops

Alpharetta, GA

$51.50 - $70.50/hr

Knowledge Momentum follows an onsite offshore model and combines expertise in Data Engineering ... Systems Engineer/Devops - Docker Location : Alpharetta GA Duration : 3 Months Contract to Hire

Systems Engineer /Devops

Alpharetta, GA · On-site

$51.50 - $70.50/hr

Knowledge Momentum follows an onsite offshore model and combines expertise in Data Engineering ... Systems Engineer/Devops - Docker Location : Alpharetta GA Duration : 3 Months Contract to Hire

AWS DevOps Engineer

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

Req ID: 383281 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... DevOps Engineer Day-to-Day Job Duties (What this person will do on a daily/weekly basis) Design ...

Sr. DevOps Engineer

Duluth, GA · Hybrid

$119K - $153K/yr

Our client is seeking a highly experienced Sr. DevOps Engineer with a proven track record of ... data engineering solutions, and IT staffing services that help organizations solve complex ...

Senior Azure DevOps Engineer

Atlanta, GA · On-site

$125K - $160K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... About the Role We are seeking an Atlanta-based Senior Azure DevOps Engineer to join our ...

Senior Azure DevOps Engineer

Atlanta, GA · On-site

$125K - $160K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... About the Role We are seeking an Atlanta-based Senior Azure DevOps Engineer to join our high ...

Senior Azure DevOps Engineer

Atlanta, GA · On-site

$125K - $160K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... About the Role We are seeking an Atlanta-based Senior Azure DevOps Engineer to join our ...

AWS DevOps Datadog

Sandy Springs, GA · On-site

$52.25 - $71.75/hr

NTT DATA''s Client is currently seeking an AWS DevOps / SRE Engineer - Datadog & AIOps Location: Atlanta, Georgia -- Preferred Onsite/Hybrid Employment Type: Full-Time Experience Level: 5+ years in ...

DevOps Engineer

Atlanta, GA

$50.75 - $69.50/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Devops engineer to support the devops platform which includes * Java ...

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Data Devops information

See Atlanta, GA salary details

$15

$58

$82

How much do data devops jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data devops in Atlanta, GA is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.83 per hour, depending on experience, location, and employer.

What is a Data DevOps?

Data DevOps professionals are specialists who bridge the gap between data engineering and DevOps practices. They focus on automating, optimizing, and managing data pipelines, infrastructure, and workflows to ensure reliable and scalable data delivery. Their responsibilities often include integrating data tools with CI/CD processes, maintaining data security, and enabling collaboration between data teams and operations. By applying DevOps principles to data platforms, they help organizations deliver data-driven solutions more efficiently and with higher quality.

How does a Data DevOps professional typically collaborate with data engineers and data scientists on projects?

As a Data DevOps professional, you play a crucial role in bridging the gap between data engineering, data science, and operations teams. You’ll work closely with data engineers to automate data pipelines, ensure continuous integration and deployment, and maintain robust data infrastructure. Collaboration with data scientists often involves streamlining model deployment, monitoring data workflows, and troubleshooting issues to ensure that analytical solutions can be quickly and reliably put into production. Strong communication skills and a proactive approach to problem-solving are key for fostering effective teamwork across these disciplines.

What are the key skills and qualifications needed to thrive as a Data DevOps professional, and why are they important?

To thrive as a Data DevOps professional, you need a solid background in data engineering, automation, and cloud infrastructure, often supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and cloud platforms such as AWS, Azure, or GCP is typically required, alongside experience with CI/CD pipelines and data pipeline orchestration systems like Airflow. Strong problem-solving skills, collaboration, and effective communication help you bridge the gap between data engineering and operations teams. These skills ensure efficient, reliable, and scalable data systems that support organizational analytics and business goals.

What is the difference between Data Devops vs Data Engineer?

AspectData DevopsData Engineer
CredentialsCertifications in cloud platforms, Devops tools, scriptingData management, SQL, cloud certifications
Work EnvironmentCollaborates with Devops, IT, and data teams; focuses on deployment pipelinesBuilds data pipelines, manages databases, and data architecture
Employer & Industry UsageTech companies, data-driven organizations, cloud providersFinancial, healthcare, tech industries, data-centric firms

Data Devops and Data Engineers share overlapping skills in cloud and scripting but differ in focus. Data Devops emphasizes deployment, automation, and infrastructure for data systems, while Data Engineers concentrate on building and maintaining data pipelines and storage solutions. Both roles are vital in modern data ecosystems, often collaborating to ensure efficient data workflows.

Is data DevOps a high paying job?

Data DevOps roles are generally well-compensated due to their technical complexity and demand for skills in cloud platforms, automation, and scripting. Salaries vary based on experience, location, and certifications, but they tend to be higher than average IT or software development positions.
Infographic showing various Data Devops job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,081 per year, or $58.2 per hour.

DevOps & Data Engineer - GCP (Google Cloud Platform)

NTT DATA Services

Alpharetta, GA • On-site, Remote

$106K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

Req ID: 383088 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DevOps & Data Engineer - GCP (Google Cloud Platform) to join our team in Alpharetta, Georgia,, Georgia (US-GA), United States (US).

Day to Day Job Duties: 

  • Develop AI/ML applications leveraging Google's Gemini API for natural language understanding and generation.
  • Build and enhance cloud-native applications using Python, Databricks, and Google Cloud Platform.
    Design, develop, and maintain scalable backend services using Cloud Run and serverless architectures.
  • Develop and optimize APIs using Google Cloud API Gateway while following security and performance best practices.
  • Build and maintain AI/ML data pipelines using Databricks.
  • Develop and maintain CI/CD pipelines using GitOps methodologies.
  • Manage build artifacts and repositories using JFrog Artifactory and Azure DevOps.
  • Work with GCP data services including BigQuery, AlloyDB, Cloud Storage, and Spanner.
  • Develop event-driven integrations using Pub/Sub and Kafka.
  • Implement Infrastructure as Code using Terraform.
  • Collaborate with Product, Data Engineering, and Infrastructure teams to deliver scalable AI solutions.
  • Follow GCP security, IAM, encryption, and cloud best practices throughout the development lifecycle.
    Required Qualifications
  • 5+ years of experience in Backend Development, AI/ML Engineering, DevOps, or Cloud Engineering.
  • 5+ years experience with Google Cloud Platform services including Cloud Run, GKE, BigQuery, AlloyDB, Cloud Storage, and serverless technologies.
  • 5+ years experience developing applications using Python.
  • 5+ years experience with Databricks for AI/ML and data processing workloads.
  • 5+ years experience with REST API development and Google Cloud API Gateway.
  • 5+ years experience with CI/CD, GitOps, Azure DevOps, and JFrog Artifactory.
  • 5+ years Experience implementing Infrastructure as Code using Terraform.
  • 5+ years experience with Pub/Sub or Kafka.
  • 5+ years experience of GCP IAM, encryption, and cloud security best practices.

Preferred Qualifications.

  • Strong analytical, troubleshooting, and problem-solving skills.
  • Good communication and collaboration skills.

Education

  • Bachelor's degree in Computer Science, Engineering, or a related field.

#LI-NorthAmerica

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $106,840.00 to $160,260.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967