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Big Data Devops Engineer Jobs (NOW HIRING)

zdata

Big Data DevOps Engineer

Boise, ID

$45.75 - $62.50/hr

... Big Data space. This position will report to the DevOps Managed Services division and be responsible for creating and maintaining DevOps environments for ZData clients. Summary Description:

zdata

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

... Big Data space. This position willreport to the DevOps Managed Services division andbe responsible for creating and maintaining DevOps environments for ZData clients. Summary Description:

Teema

DevOps Engineer

Scottsdale, AZ

$53.25 - $73/hr

Big Data DevOps Engineer * Ability to use Unix/Linux command line programs and create/edit scripts ... Ability to deliver infrastructure via automation (Chef) * Understanding of big data technologies ...

TEEMA

DevOps Engineer

Scottsdale, AZ · On-site

$53.25 - $73/hr

Big Data DevOps Engineer * Ability to use Unix/Linux command line programs and create/edit scripts. * Ability to deliver infrastructure via automation (Chef) * Understanding of big data technologies ...

SRI Tech solutions Inc

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

Big Data developer Redmond, WA Long term Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross ...

AYR Global IT Solutions Inc

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

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 ...

Pivotal Solutions

DevOps/Data Engineer

Fargo, ND · On-site

$51.75 - $71/hr

Provide leadership to the entire engineering team on various infrastructure and big data topics ... DevOps Engineer * 5+ years of experience with the AWS cloud platform, including proficiency with ...

Citigroup, Inc.

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Citi is looking for a Senior Big Data Developer to design, build, and scale high-performance data platforms that power critical business decisions across our global financial institution. In this ...

Ariston Tek Inc

Hadoop Big Data Developer

Herndon, VA · On-site

Title: Sr. Hadoop Big Data Developer Location: Herndon, VA Type: Contract to Hire Required Skills: * Strong and deep knowledge of Java application development * Hands on experience in LINUX, Java ...

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 ...

Jobsbridge

Big Data Developer

Los Angeles, CA

$57 - $74/hr

Company Description Intelliswift Software, Inc Big Data & Java experience is mandatory Experience in Big Data Tech stack - Mapr, Hive, PIG is mandatory Must have Data Management experience in large ...

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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.

Big Data DevOps Engineer

zdata

Boise, ID

$45.75 - $62.50/hr

Full-time

Re-posted 21 days ago

Job description

Company Description

zData Inc is taking Big Data to a new level by providing best-in-class Big Data, advanced analytics and data warehousing solutions and services that utilize enterprise and open source. Our solutions allow decision makers to quickly and affordably perform complex analysis of terabytes of data to accelerate and improve business decisions. zData is partnered with companies like GCP, AWS, Confulent, Azure, EMC, VMware, Cisco and Pivotal to provide breakthrough products and services around cloud and the Big Data space.

Job Description

This position will report to the DevOps Managed Services division and be responsible for creating and maintaining DevOps environments for ZData clients.

 

Summary Description: 

  • Participate in design, implementation and automation of system architectures that scale with custom requirements.
  • Create and support cloud (AWS and GCP) and local cluster environment and infrastructure.
  • Assist with automation of builds and deployment of software products.
  • Prepare and implement data security, backup and disaster recovery.
  • Help optimize software development and deployment
  • Experience programming and/or scripting (python or  java preferred)
  • Experience working with Ansible and Terraform
  • Exposure to big data technologies (Hadoop, Spark, NoSQL, EMR, Pivotal Cloud Foundry, Kafka, ElasticSearch)
  • Comfortable working in a Linux environment
  • Familiarity with software development practices such as Agile, Pair, XP
  • Familiarity with code repository tech (GIT)
Qualifications

Preferred qualification:

        Ability to learn quickly
        Hands on experience using Massively Parallel Processing technology
        Exposure to one or more MPP DBMS (Teradata, Vertica, Netezza, Greenplum)
        Expert in Ansible and Terraform
        Experience with Big Data Technologies.
        Experience with Data Warehousing and ETL/ELT
        Experience with AWS, Google Cloud
        Bachelor's Degree
        5+ years of technical expertise.
        Ability to Travel.

Additional Information

This position includes the following:
    Annual salary DOE
    Excellent full benefits package; bonus potential.
    40 hour work week.
    Up to 50% travel
    Business Casual dress & Business Professional dress.

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