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Data Devops Jobs in Georgia (NOW HIRING)

Data Engineer - Ag & Trading

Atlanta, GA · On-site

$113K - $136K/yr

The Professional, Data Engineering job designs, builds and maintains moderately complex data ... Snowflake * DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD ...

Data Engineer - Ag & Trading

Atlanta, GA

$113K - $136K/yr

The Professional, Data Engineering job designs, builds and maintains moderately complex data ... Snowflake * DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD ...

Data Engineer - Ag & Trading

Atlanta, GA · On-site

$110K - $132K/yr

The Professional, Data Engineering job designs, builds and maintains moderately complex data ... Snowflake * DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD ...

DevOps Engineer (7620)

Augusta, GA · Hybrid

$156K - $213K/yr

DevOps EngineerAugusta, GADescription We are seeking a highly motivated and experienced Senior ... Big Data solutions, configuration management, automation, scripting, containers, and AWS. The ...

DevOps Engineer

Atlanta, GA · On-site

$120 - $170/hr

Metas Solutions excels in providing strategic consulting, program management, and data-driven ... Metas Solutions has an " immediate " opening for a talented DevOps Engineer located in Atlanta, GA ...

New

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure DevOps and Git Preferred Skills: * Databricks * PySpark * Delta Lake * Microsoft Fabric * Power BI * Terraform * Azure certification * Experience with large enterprise data environments #Hiring ...

DevOps Engineer - 29266

Augusta, GA · On-site

$55.23 - $128.52/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill ...

DevOps Engineer - 29266

Augusta, GA · Hybrid

$49.50 - $68/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill ...

DevOps Engineer - 29266

Augusta, GA · Hybrid

$55.23 - $128.52/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Experience with version control (Git), DevOps, and CI/CD processes. * Work with EBX for master data management (MDM), ensuring consistent and governed data across systems. * Collaborate with cross ...

Data Engineer

Alpharetta, GA · On-site

$130K - $196K/yr

Experience with version control (Git), DevOps, and CI/CD processes. * Work with EBX for master data management (MDM), ensuring consistent and governed data across systems. * Collaborate with cross ...

Senior DevOps Engineer

Alpharetta, GA · On-site

$126K - $163K/yr

Job title: Senior DevOps Engineer - Azure, Terraform & Databricks Location: Alpharetta GA Type ... Build and manage big data clusters, including Azure Databricks and On-Premise Hadoop , for advanced ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Preferred • Knowledge of CI/CD automation with Azure DevOps. • Familiarity with data governance tools (Microsoft Purview, Unity Catalog). • Experience with SSIS package migration and ...

DevOps Engineer

Augusta, GA · On-site

$41.50 - $57/hr

They are looking for a DevOps Engineer to work hands-on with cloud infrastructure, containerized ... with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL ...

DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest ...

Showing results 41-60

Data Devops information

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 tend to be higher than average IT positions and can increase with experience, certifications, and expertise in tools like Docker, Kubernetes, and CI/CD pipelines.

What are popular job titles related to Data Devops jobs in Georgia?

For Data Devops jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Devops jobs in Georgia look for?

The top searched job categories for Data Devops jobs in Georgia are:

What cities in Georgia are hiring for Data Devops jobs?

Cities in Georgia with the most Data Devops job openings:

Infographic showing various Data Devops job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer - Ag & Trading

Cargill

Atlanta, GA • On-site

$113K - $136K/yr

Full-time

Posted 19 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

19th of 49 rated food wholesalers


Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.
Job Purpose and Impact
  • The Professional, Data Engineering job designs, builds and maintains moderately complex data systems that enable data analysis and reporting. With limited supervision, this job collaborates to ensure that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA & ANALYTICAL SOLUTIONS: Develops moderately complex data products and solutions using advanced data engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Maintains and supports the development of streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to implement the identified areas for improvement and optimization.
  • DATA INFRASTRUCTURE: Helps prepare data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Implements appropriate data formats to improve data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Partners with multi-functional data and advanced analytic teams to collect requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds moderately complex prototypes to test new concepts and implements data engineering frameworks and architectures to support the improvement of data processing capabilities and advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Implements automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs moderately complex data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.

Qualifications
  • Minimum requirement of 2 years of relevant work experience. Typically reflects 3 years or more of relevant experience.

Preferred Qualifications
  • EXPERIENCE: Professional experience as Software Engineer
  • PROGRAMMING: Proficient with programming in Python, SQL, or similar languages. Expert-level proficiency in SQL for data manipulation and optimization.
  • DATA & ANALYTICS TOOLS: Snowflake
  • DEVOPS: Demonstrated experience in DevOps practices, including code management, CI/CD, and deployment strategies.
  • INFRASTRUCTURE & DEVOPS TOOLS: Terraform, Docker

The business will not sponsor applicants for work visa for this position.
Equal Opportunity Employer, including Disability/Vet.

What Cargill employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US