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Data Devops Jobs (NOW HIRING)

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs We are seeking a Data Engineer with 5 years of experience to design ...

System One

Data Engineer with DevOps

Dallas, TX · On-site

$52.25 - $71.50/hr

... DevOps Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs We are seeking a Data Engineer with 5 years of experience to design ...

DivIHN

Senior Data Developer (Remote)

Familiarity with DevOps and CI/CD processes. * Strong troubleshooting, analytical, and ... Azure Data Engineer certifications. * Experience with Dynamics 365 and Power Platform integrations.

Scotiabank

Senior Data Developer

Dallas, TX · On-site

... and operational tooling • Solid understanding of investment data domains: securities reference data, pricing, corporate actions, benchmarks, and NAV/fund data • Demonstrated experience in ...

EPSoft Technologies

Devops Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

Plano, TX Onsite role Bachelor's or master's degree in computer science, Information Systems, or related field * 8+ years of experience in DevOps, with at least 3 years working with cloud data ...

Wise Skulls

Platform (DevOps) Engineer

$54 - $74/hr

The ideal candidate will bring strong hands-on experience across AWS cloud services, Terraform, DevOps practices, and a solid understanding of data engineering platforms, pipelines, and workload ...

New

Delta System and Software Inc.

DevOps Engineer

Iselin, NJ · On-site

$53.50 - $73.25/hr

Title - Senior DevOps Engineer Location - Iselin, NJ (3 days onsite, Hybrid) Looking for strong ... Develop and manage Databricks environments for data processing and analytics. * Implement ETL ...

The Mother Ship

Devops Engineer

San Antonio, TX · On-site

$47.50 - $65.25/hr

Understanding of Apache Flink for real-time stream processing and batch data processing ... * DevOps & Automation: * Strong experience in automating deployments and infrastructure ...

janney

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 ...

janney

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 ...

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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.
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What states have the most Data Devops jobs?

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Data Devops jobs near you
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.

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Re-posted 23 days ago

Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into ‘curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for 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, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh

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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US

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