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Data Devops Jobs (NOW HIRING)

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

The DevOps Engineer will leverage their technical background to help deliver automation and big data analytics for the IC community. You will be trained in DevOps and work alongside a collaborative ...

.Net Developer

Minneapolis, MN · On-site

$50.25 - $66.50/hr

NET Framework Data & DevOps Skills * Experience with SQL Database * CI/CD pipeline setup using Jenkins or Azure DevOps * Understanding of security best practices (OAuth, secrets management ...

Java/Big Data Developer

New York, NY · On-site

$55.75 - $72.25/hr

Java/Big Data Developer Location: NYC, NY, 2 Bryant Park 3 step iv process 1 hour virtual coding ... DevOps model and solutions like Ansible is a plus · Team player with excellent interpersonal ...

Big Data Developer

Mooresville, NC

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL ... with working on DevOps Platform enabled CI/CD Critical Selection Criteria Best would be if ...

Devops Engineer

$54 - $74/hr

Position Summary The CloudOps & DevOps - Hybrid Engineer supports the Juno Labs team by maintaining and enhancing secure data flows between Kafka, PostgreSQL, and S3. This role focuses on ...

AWS DevOps Lead/Architect

Alameda, CA · On-site

$76.75 - $101.25/hr

This role involves 70% DevOps / Platform Engineering and 30% Data Engineering support, with a strong focus on AWS cloud infrastructure, CI/CD automation, Kubernetes, and Databricks platform ...

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 ...

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Work with data engineers, data scientists, and business analysts to translate data requirements into technical solutions. * Change Management: Follow processes for Change Requests, incidents ...

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 ...

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 ...

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 ...

Showing results 41-60

Data Devops information

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How much do data devops jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data devops in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 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.
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What cities are hiring for Data Devops jobs?

Cities with the most Data Devops job openings:

What states have the most Data Devops jobs?

States with the most job openings for Data Devops jobs include:

What are popular job titles related to Data Devops jobs?

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

Infographic showing various Data Devops job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.
MANTECH
IT Services • 5 - 10K employees

$54.25 - $74.25/hr

Full-time

Re-posted 15 days ago


ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented DevOps Engineer to join our team in Herndon, VA. The DevOps Engineer will leverage their technical background to help deliver automation and big data analytics for the IC community. You will be trained in DevOps and work alongside a collaborative team of Software Developers, Systems Development Engineers, Network Engineers, and Data Engineers to develop unique software that enables customer networks to safely operate at scale.

Responsibilities include but are not limited to:

  • Deploying and provisioning AWS resources including EC2, S3, RDS, IAM roles, and VPC configurations to support scalable architecture

  • Building, maintaining, and troubleshooting continuous integration and continuous deployment (CI/CD) processes using GitLab and GitHub

  • Running routine vulnerability scans, applying patches, and updating cloud and physical infrastructures to ensure security compliance

  • Designing and maintaining Kubernetes and EKS clusters to ensure high availability and productivity for the development team

  • Collaborating with stakeholders to ensure complete and functional systems that meet all requirements

  • Recommending, and when approved, implementing process and policy improvements

Minimum Qualifications:

  • High School Diploma and 3+ years’ experience with DevOps, front end development or full stack development

  • Experience with Bash scripting

  • Experience working within AWS (Amazon Web Services) environments

  • Experience working with Linux administration and systems design

  • Experience creating CI/CD pipelines

  • Experience with network documentation including security compliance, configuration management, and patching.

Preferred Qualifications:

  • Experience with Kubernetes, containerized workloads, and infrastructure orchestration using Terraform.

  • Expertise in JavaScript/ECMASCRIPT, including code stitching, minimization, and Restful API development.

  • Knowledge of automated hardware appliance deployment, PKI infrastructure, and encryption at rest services.

  • Experience working across a large team to drive technical agendas and working with complex, intertwined systems

  • Bachelor's degree in Computer Science

Clearance Requirements: Current/active TS/SCI with polygraph is required

Physical Requirements:

  • Must be able to remain in a stationary position 50%.


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