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Data Devops Jobs (NOW HIRING)

Cornerstone Defense

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

Job #3261 Supports software and data engineering with DevOps tools, culture, and process changes to enable rapid and stable delivery of applications and technologies. Identifies, prototypes ...

MANTECH

DevOps Engineer

Herndon, VA · On-site

$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 ...

NewGen

DevOps Engineer

Herndon, VA · On-site

$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 ...

NewGen Technologies

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 ...

HarbourVest

DevOps Engineer

Boston, MA · Hybrid

$57.25 - $78.50/hr

This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful ...

HarbourVest Partners, LLC

DevOps Engineer

Boston, MA · On-site

$57.25 - $78.25/hr

This role is ideal for a technology professional with a strong passion for data, automation, and modern DevOps practices who thrives in sophisticated, high-impact environments. The successful ...

MM International

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 ...

Trilon Group

Data Engineer

$116K - $155K/yr

Reporting to the Vice President, Data & DevOps, this role is responsible for designing, developing, and maintaining scalable data integrations and transformations in Azure and Microsoft Fabric. The ...

CGI Inc.

Senior Data Engineer with DevOps

Dallas, TX · On-site

$128K - $165K/yr

... data pipelines . Fundamentals in Linux and Networking . Docker, OCP containerization / Kubernetes . Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, ...

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Data Devops information

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How much do data devops jobs pay per hour?

As of Jul 12, 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 are Data DevOps professionals?

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.

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Data Devops jobs near you
DevOps Engineer

DevOps Engineer

Cornerstone Defense

Chantilly, VA • On-site

$54 - $74/hr

Contractor

Re-posted 13 days ago

Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3261

Supports software and data engineering with DevOps tools, culture, and process changes to enable rapid and stable delivery of applications and technologies. Identifies, prototypes, engineers, and deploys emerging software engineering and DevOps tools into existing baseline. Operates and supports a suite of enterprise DevOps services. Establishes, manages, automates, and enhances DevOps pipelines. Defines and promotes enterprise software engineering and DevOps standards, practices, and behaviors. Supports project teams as they integrate into the DevOps environment. May work in hybrid environments (multi-cloud, multi-domain, private/public). Writes and maintains infrastructure and configuration files, DevOps tool configuration scripts, and application run-time configuration scripts. Facilitates technical exchange meetings to identify, collect, and establish coordinated requirements with key stakeholders.
Key Responsibilities:
  • Work with Chief Engineer and engineers to incorporate DevOps best practices and automation to improve program performance while reducing risk
  • Develops Infrastructure as Code to control all aspects of software environments and version control releases
  • Containerizes Java and Python code optimized for deployment in Kubernetes environment, ensuring high availability and parallel processing
  • Leverages AWS best practices to reduce compute costs while incorporating autoscaling and scheduling of resources according to program demand
  • Collaborate with development teams as part of software development lifecycle to design software while considering the production environment
  • Automate and version control deployments while ensuring a controlled deployment process that enables zero down time
  • Incorporates security scanning and other best practices to ensure new deployments comply with industry best practices
  • Works with the ISSE implementing security tools in the build pipeline
  • Document work in alignment with Agile Development practices
  • Works well as part of a fast-paced team with a desire to innovate and improve a multi-faceted organization

Required Skills:
  • Minimum of 4-7 years' demonstrated experience with:
  • Kubernetes and Helm Charts
  • Docker and/or Podman Containerization best practices
  • AWS Services (EKS, Lambdas, EMR, ECR, VPC, etc.)
  • Terraform Experience
  • Preferred Skills/Experience:
  • Terraform and Packer with AWS (AMIs, Environment, Configuration Automation, etc.)
  • Database ORM Tools (Flyway, etc.)
  • CI/CD Pipeline Automation (Git, Jenkins, Automated Testing, etc.)
  • Cloud environment and infrastructure engineering
  • Implementing DevOps within a Secure Environment

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