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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 ...

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.

Vaco by Highspring

Data Developer

Bradenton, FL · On-site

Job Title: Data Developer Job Category: Department/Group: Merchandising Systems Position Type ... Contribute to continuous improvement efforts related to processes, architecture, and operational ...

Market Street Talent

DevOps Engineer

Portland, ME · On-site

$54.75 - $75/hr

This role is focused on supporting and enhancing a modern data and AI platform environment ... As a DevOps Engineer , you will: • Support the day-to-day administration of enterprise Databricks ...

New

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 ...

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 ...

GRVTY

DevOps Engineer

Chantilly, VA · On-site

$150K - $200K/yr

We embed skilled Data Engineers, Data Scientists, DevOps Engineers, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and ...

New

GRVTY

DevOps Engineer

Chantilly, VA

$150K - $200K/yr

We embed skilled Data Engineers, Data Scientists, DevOps Engineers, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and ...

New

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 ...

MANTECH

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 ...

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 ...

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 ...

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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.

More about Data Devops jobs
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What states have the most Data Devops jobs? States with the most job openings for Data Devops jobs include:
What job categories do people searching Data Devops jobs look for? The top searched job categories for Data Devops jobs are:
Data Devops jobs near you
Data Engineer with DevOps

Data Engineer with DevOps

System One

Dallas, TX • On-site

$52.25 - $71.50/hr

Other

Posted 12 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