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Data Devops Jobs (NOW HIRING)

The Data Engineering & Operations Leader will lead the firm's Data Engineering & Operations ... Implement DevOps, automation, CI/CD, testing, and deployment practices that improve engineering ...

New

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 ...

The Data Engineering & Operations Leader will lead the firm's Data Engineering & Operations ... Implement DevOps, automation, CI/CD, testing, and deployment practices that improve engineering ...

New

DevOps Engineer

Irving, TX · On-site

$91 - $98/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 ...

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 ...

DevOps Engineer

Arlington, VA · On-site +1

$75K - $156K/yr

Req ID: 386100 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a DevOps Engineer to join our team in Arlington (REMOTE), Virginia (US-VA ...

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 ...

DevOps Engineer

VA · Remote

$75K - $156K/yr

Req ID: 386100 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... We are currently seeking a DevOps Engineer to join our team in Arlington (REMOTE), Virginia (US-VA ...

New

.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 ...

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 ...

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 ...

DevOps Engineer

Bolingbrook, IL · On-site

$128 - $160/hr

DevOps Engineer Integrated Medical Systems, Inc. (IMS), founded in 1994, is one of the nation's top ... The successful candidate will play a key role in shaping our data architecture and deployment ...

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 Aug 22, 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.
More about Data Devops jobs

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:

Infographic showing various Data Devops job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Sr Azure DevOps Engineer - AI & Data Focused

1872 Consulting

Chicago, IL

$54.25 - $74.50/hr

Full-time

Re-posted 15 days ago


Job description

Sr Azure DevOps Engineer – AI & Data FocusedWe're seeking a Sr Azure DevOps Engineer, who will sit on the AI team, and focus on deploying data pipelines to strengthen our cloud platform engineering team. Given most of the team you'd be working with is not strong with Databricks, we're looking for someone who has experience deploying data pipelines with Databricks as the primary focus (65%). Specifically design, deploy, and optimize Azure Databricks workspaces, clusters, and jobs (including use of Databricks Asset Bundles). The other 35% will be focused on traditional software Azure DevOps, using ARM templates currently for IaC, but we're considering using other IaC tools like Terraform. You must be strong building CI/CD pipelines using Azure DevOps and GitHub. And we're also looking for someone to be hands on scripting with Python, PowerShell, Bash.What You'll Be DoingDesign, deploy, and optimize Azure Databricks workspaces, clusters, and jobs using IaC and Databricks Asset Bundles.Architect and automate Azure environments with Infrastructure-as-Code (Bicep, ARM, Terraform).Own Git strategy and CI/CD pipelines (Azure DevOps, GitHub): branching standards, PR automation, and release orchestration.Partner with data-engineering and platform teams to run fully isolated dev, staging, and production environments.Develop reusable, modular IaC templates for consistent, reliable deployments across all tiers.Embed automated testing and monitoring in every pipeline to ensure resilient, high-performance systems.Continuously identify opportunities to streamline deployments and boost reliability through automation.Champion DevOps culture: automated testing, shift-left security, trunk-based development, post-mortems.Audit and improve tooling, processes, and infrastructure management practices on an ongoing basis.Skills We're Seeking8+ years of experience with DevOps3+ years of experience with Azure DevOpsStrong experience with Databricks is a hard requirementMust have IaC experience, any tool is fine, but ARM templates are preferredMust be proficient scripting with Python, PowerShell and/or BashNice To Haves (In No Particular Order)Multi-cloud experience with AWS and/or GCP – even though Azure is the strong focus near term, we may be going multi-cloudExperience with Data Engineering,.NET Development or Python DevelopmentExperience deploying ML modelsExperience with Site Reliability and Cloud MonitoringExperience migrating to—or building—data platforms from the ground upExperience with Azure SecurityExperience working in an Agile delivery model


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About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014