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Big Data Devops Engineer Jobs (NOW HIRING)

Endictus

DevOps Engineer

Columbia, MD · On-site

$52.25 - $71.75/hr

... Big Data environments. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability, security, and scalability of ...

Long Finch Technologies

$107K - $129K/yr

Work with DevOps tools and practices including Jenkins and Maven for deployment automation. Required Experience & Skills * 7+ years of experience in Big Data Engineering, Data Engineering, or related ...

Fuse Engineering LLC

Software/DevOps Engineer

Annapolis, MD · On-site

$52.25 - $71.50/hr

The DevOps Engineer shall be responsible for implementing a Zero-touch provisioning (ZTP) solution ... big data such as Splunk and Elastic Stack § Experience with SQL technologies such as MySQL ...

Jobsbridge

Sr. Big Data Developer

Minneapolis, MN

$55.25 - $71.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Qualifications: Experience in database development ...

MANTECH

DevOps Engineer with Security Clearance

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 ...

Prophecy Technologies

BIG DATA ENGINEER

Berkeley Heights, NJ · On-site

$58.25 - $77/hr

Big Data Engineer (Java,Spark, Hadoop, Ozone CH) Location: Berkeley Heights, NJ Role Overview: We ... improve operational efficiency using scripting and orchestration tools. Required Skills ...

Real Soft, Inc.

DevOps Engineer (0389)

San Antonio, TX · On-site

$45.25 - $61.75/hr

The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions , configuration management, automation, scripting, and AWS . The DevOps ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO ...

GRVTY

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

... true big-data footprint (over 10 petabytes). Our diverse background of experience in mission ... This role is ideal for someone who sees DevOps not just as automation, but as a software ...

Redolent, Inc.

Big data engineer - Python

Charlotte, NC · On-site

$54.50 - $72/hr

Join a passionate, tight-knit, and supportive team as a Big Data Developer/Engineer at a Global Financial Institution. This role focuses on delivering the best experience for customers while ...

Endictus

DevOps Engineer

Fort Belvoir, VA · On-site

$300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

DevOps Engineer Position Overview We are seeking a highly motivated and experienced DevOps Engineer ... Experience with Big Data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka ...

Jobsbridge

DevOps Engineer

Cupertino, CA

$65 - $89.25/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Requirements 7+ years of hands on experience as a DevOps Engineer Experience with a scripting ...

GRVTY

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

... true big-data footprint (over 10 petabytes). Our diverse background of experience in mission ... This role is ideal for someone who sees DevOps not just as automation, but as a software ...

Endictus Corp

DevOps Engineer

Columbia, MD · On-site

$300K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description: DevOps Engineer Position Overview We are seeking a highly motivated and experienced ... Experience with Big Data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka ...

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Big Data Devops Engineer information

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How much do big data devops engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for big data devops engineer 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 some common challenges big data DevOps engineers face when managing data pipelines in a production environment?

Big Data DevOps Engineers often encounter challenges related to scaling and maintaining complex data pipelines. Ensuring high availability and fault tolerance while handling large volumes of data can be demanding, especially when integrating new tools or technologies. They must also proactively monitor system performance, quickly resolve bottlenecks, and collaborate closely with data engineering and operations teams to implement robust deployment and automation strategies. Staying up-to-date with evolving cloud and big data platforms is crucial for success in this dynamic role.

What is the difference between Big Data Devops Engineer vs Data Engineer?

AspectBig Data Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, Linux, scriptingData management, SQL, cloud certifications
Work EnvironmentCloud platforms, automation tools, CI/CD pipelinesData warehouses, ETL processes, databases
Employer & Industry UsageTech companies, data-driven organizationsFinance, healthcare, tech sectors
Common Search & Comparison IntentUnderstanding roles in data infrastructure & automationData pipeline development & management

The Big Data Devops Engineer focuses on automating and maintaining scalable data infrastructure using DevOps practices, cloud tools, and automation. In contrast, Data Engineers primarily design, build, and manage data pipelines and storage solutions. While both roles require knowledge of cloud platforms and data management, the DevOps Engineer emphasizes deployment, automation, and system reliability, whereas Data Engineers concentrate on data architecture and processing.

What is a big data DevOps engineer?

Big Data DevOps Engineers are IT professionals who specialize in managing, automating, and optimizing the deployment and operation of big data platforms and applications. They work at the intersection of development (Dev) and operations (Ops) to ensure that data pipelines, processing workflows, and analytics tools are reliable, scalable, and efficient. Their responsibilities often include configuring cloud infrastructure, automating deployment processes, monitoring system health, and collaborating with data engineers and developers. By leveraging DevOps practices, they help organizations process and analyze large volumes of data more effectively and securely.

What are the key skills and qualifications needed to thrive as a big data DevOps engineer?

A Big Data DevOps Engineer needs a strong background in computer science, experience with big data platforms like Hadoop or Spark, and proficiency in scripting languages such as Python or Bash. Familiarity with CI/CD tools (e.g., Jenkins), containerization (Docker, Kubernetes), and cloud services (AWS, Azure, GCP), as well as relevant certifications, is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help engineers efficiently bridge development and operations teams. These skills ensure the secure, scalable, and reliable deployment of big data solutions that meet business objectives.
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Big Data Devops Engineer jobs near you
Infographic showing various Big Data Devops Engineer job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

DevOps Engineer

Endictus

Columbia, MD • On-site

$52.25 - $71.75/hr

Full-time

Re-posted 19 days ago

Job description

DevOps Engineer
Position Overview
We are seeking a highly motivated and experienced DevOps Engineer to support a fast-paced software development and infrastructure team. The ideal candidate will have strong working knowledge of Kubernetes and container orchestration, configuration management, CI/CD, automation, AWS, Linux systems administration, scripting in Bash, programming in Python, and experience supporting Big Data environments.
The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability, security, and scalability of mission-critical services. This role supports a U.S. Government customer and requires onsite work at a secure customer location.
This is an excellent opportunity for a DevOps professional who enjoys working with modern cloud and container technologies in a collaborative, mission-focused environment.
Essential Job Responsibilities
  • Support the development and deployment of cloud infrastructure in AWS, particularly EKS.
  • Support development and deployment of non-cloud and edge infrastructure, including on-premise and portable equipment.
  • Automate deployment processes and ensure reliability and scalability of services.
  • Manage and maintain Kubernetes containers and cloud infrastructure on AWS.
  • Collaborate with development teams to integrate applications into the infrastructure.
  • Monitor, troubleshoot, and resolve issues in production systems.
  • Continuously improve processes, tools, and automation to support high availability and performance.
  • Stay current with emerging technologies and industry trends to identify opportunities for infrastructure improvement.
  • Provide hands-on technical execution while also supporting team guidance, mentorship, and technical leadership.
  • Perform other duties as assigned.

Requirements
Minimum Qualifications
  • Active TS/SCI U.S. Government security clearance required.
  • U.S. Citizenship required.
  • 5+ years of experience in DevOps Engineering or Software Development with a bachelor's degree in a related field; or 3+ years of relevant experience with a master's degree; or high school diploma/equivalent with 9+ years of relevant experience.
  • Strong knowledge of Kubernetes or other container orchestration platforms.
  • Strong knowledge of AWS services, including EKS, EC2, EBS, S3, and Lambda.
  • Experience deploying and managing infrastructure in AWS environments.
  • Proficiency with configuration management and infrastructure-as-code tools such as Terraform and Ansible.
  • Experience with application, container, and operating system deployment, scaling, and management.
  • Ability to develop or script in languages such as Python, Bash, or Go.
  • Familiarity with Git, Flux, and other development and deployment tools.
  • Comfortable working in a terminal-based environment.
  • Strong Linux knowledge, including system administration and troubleshooting.
  • Excellent problem-solving skills with the ability to identify and troubleshoot complex technical issues.
  • Strong verbal and written communication skills.
  • Understanding of Agile software development methodologies and standard software development tool suites.
  • Demonstrated experience serving as a technical lead, mentor, or manager for engineering teams.
  • Must be willing and able to support workspace opening/closing responsibilities during regular business hours as needed.
  • Must be able to work onsite at a secure customer location five days per week. Flexibility is required to accommodate schedule changes.
Preferred Qualifications
  • Experience with Big Data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, Elasticsearch, Hive, Drill, Impala, Trino, Presto, or similar technologies.
  • Experience with containers, EKS, controlled data transfer environments, CI/CD, and Terraform.
  • Prior experience supporting secure government or mission-critical environments.

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