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Data Devops Jobs in Atlanta, GA (NOW HIRING)

APCO Holdings

Senior Data Developer

Norcross, GA · On-site

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 ...

APCO Holdings

Senior Data Developer

Norcross, GA · On-site

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 ...

Knowledge Momentum

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

Knowledge Momentum

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

NTT DATA Americas, Inc

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 ...

SOLTECH

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 ...

NTT DATA Americas, Inc

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 ...

PlayAGS, Inc.

DevOps Platform Engineer

Duluth, GA · On-site

$120 - $180/hr

The DevOps / Platform Engineer builds and maintains the technical infrastructure that enables AGS ... AI engineers, and data engineers so they can ship without infrastructure blockers Skills ...

New

Jobsbridge

DevOps Engineer

Atlanta, GA · On-site

$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 ...

AGS

DevOps Platform Engineer

Duluth, GA · On-site

$48.50 - $66.50/hr

The DevOps Engineer is a prerequisite for the AI program - without reliable infrastructure, no ... AI engineers, and data engineers so they can ship without infrastructure blockers Skills ...

TRC Talent Solutions

Senior Data Engineer/Devops

Atlanta, GA · Remote

$100K - $136K/yr

Senior Healthcare Data Engineer Remote TRC Talent Solutions is seeking a Senior Healthcare Data ... data solutions that support operational and clinical objectives * Participate in platform ...

Cargill

Data Engineer - Ag & Trading

Atlanta, GA

$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 ...

New

Cargill

Data Engineer

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 ...

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Data Devops information

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$15

$58

$82

How much do data devops jobs pay per hour?

As of Aug 21, 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 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 Atlanta, GA?

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

What job categories do people searching Data Devops jobs in Atlanta, GA look for?

The top searched job categories for Data Devops jobs in Atlanta, GA are:

Data Devops jobs near you
Infographic showing various Data Devops job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,081 per year, or $58.2 per hour.

Senior Data Developer

APCO Holdings

Norcross, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

APCO Holdings rating

8.0

Company rating: 8.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

166th of 311 rated insurance

Job description

APCO Holdings partners with dealerships across North America to deliver innovative vehicle protection products and services that enhance the ownership experience for customers and drive growth for our partners. Through our family of brands, we bring together industry expertise, technology, and data-driven insights to help dealers strengthen their finance and insurance performance and build lasting relationships with their customers.

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales to deliver solutions that create measurable value and support the continued growth of APCO and the partners we serve.

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data to deliver effective, enterprise-wide data solutions.
What You'll Do
  • Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools
  • Build scalable, reliable ETL pipelines to support enterprise business intelligence and analytics
  • Lead the design of logical data models and implement optimized physical database structures
  • Develop and manage operational data stores, data marts, and enterprise data models
  • Collaborate with business stakeholders to gather data requirements and translate them into technical solutionsIntegrate data from multiple sources including databases, APIs, and flat files
  • Perform data transformation, cleansing, validation, and aggregation to ensure high data quality
  • Monitor, optimize, and troubleshoot ETL performance and data workflows
  • Deploy, schedule, and maintain production data processes with proper documentation and controls
  • Ensure data accuracy, security, and availability through governance, access controls, and backup strategies
What Makes You Successful
Success in this role requires a strong ability to understand and interpret organizational data. You will develop deep domain knowledge to effectively support integrated data design initiatives and deliver high-quality, data-driven solutions that enable informed business decisions
  • Strong expertise in SQL development, including complex queries, stored procedures, and performance tuning
  • Deep understanding of ETL design, data modeling, and data warehousing concepts
  • Ability to design scalable, efficient database architectures and data pipelines
  • Strong analytical and problem-solving skills with attention to detail
  • Experience translating business needs into technical data solutions
  • Effective communication skills to explain complex concepts to both technical and non-technical audiences
  • Commitment to data accuracy, quality, and continuous improvement
Basic Qualifications
  • 5+ years of experience as an ETL Developer, Data Engineer, Database Developer, or similar role
  • Strong experience with SQL Server, SSIS, and Azure Data Factory
  • Proficiency in SQL, including query writing, optimization, and data manipulation
  • Experience with data modeling, dimensional modeling, and data warehousing principles
  • Hands-on experience building and maintaining ETL pipelines
  • Familiarity with tools such as SSMS, SSRS, and Power BI
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • Experience with OLAP, MDX, and multidimensional data models
  • Familiarity with programming languages such as Python, Java, or .NET
  • Experience with cloud data platforms (e.g., Azure SQL, AWS RDS)
  • Knowledge of database security, backup, and recovery strategies
  • Experience creating semantic models or datasets for reporting tools like Power BI
This Role Might Be a Great Fit If You...
  • Enjoy building data solutions that drive business insights and decision-making
  • Thrive in solving complex data challenges and optimizing performance
  • Are detail-oriented and passionate about data accuracy and quality
  • Like collaborating with cross-functional teams to turn data into value
  • Are eager to deepen your understanding of enterprise data and systems
  • Take ownership of your work and enjoy designing scalable, long-term solutions
What We Offer
  • Competitive compensation
  • Comprehensive medical, dental, and vision benefits
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunities to shape compensation strategy in a growing organization
  • A collaborative, high-impact leadership environment
 
At APCO, the way we work matters just as much as the results we deliver. Our values guide how we work, how we partner, and how we deliver results.
 
We C.A.R.E.
Committed - We build strong, high-trust relationships with our partners and each other.
Accountable - We take ownership of outcomes and hold ourselves to the highest standards of performance and integrity.
Results-Driven - We focus on delivering measurable outcomes that create value for our partners and our business.
Excellent - We strive for excellence in everything we do while balancing short-term performance with long-term success.
 
If you're excited about joining a team that values collaboration, accountability, and continuous improvement, we'd love to hear from you.
 
 
By submitting your application, you acknowledge that you have read and understand our Privacy Policy and Terms & Conditions. APCO Holdings may collect personal information (such as name, contact details, and employment history) to evaluate your candidacy. We may share this data with our subsidiaries, affiliates, and service providers. We retain applicant data only as long as necessary for the hiring process or as required by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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