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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:

Tror AI for everyone

Big Data Developer

Atlanta, GA · On-site

$51 - $66/hr

Big Data Developer Location: Georgia (GA) Work Authorization: Only USC / GC Experience: 8+ Years Job Summary We are seeking an experienced Big Data Developer with strong expertise in Google Cloud ...

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Big Data Developer Location: New Jersey, NJ***Hybrid 3 days in a Week*** Duration: 1 Years Spark - Must have Scala - Must Have Hive & SQL - Must Have Hadoop - Must Have Communication - Must Have ...

EROS Technologies, Inc.

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

Big Data Developer Location: MOORESVILLE, NC Duration: 4+ Months Rate: Open (DOE) SUMMARY of SKILL ... with working on DevOps Platform enabled CI/CD Critical Selection Criteria Best would be if ...

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 ...

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 ...

Diverse Lynx

Big Data Developer

Tampa, FL · On-site

$110K - $130K/yr

Big Data Developer Location: Jersey City, NJ/ Tampa, FL (Onsite) Fulltime Only Salary Range: $110000 to $130000/Annum + Full Time Benefits Must Have Technical/Functional Skills: * Strong experience ...

Futran Tech Solutions Pvt. Ltd.

Big Data Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Big Data Developer Austin, TX (Day 1 onsite) - Full-time Primary Skillset: Spark, Scala, AWS Secondary Skillset : Python, Kafka Common data archetypes, writing and coding functions, algorithms, logic ...

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 ...

Innova Solutions, Inc

DevOps Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

Innova Solutions has a client that is immediately hiring for a DevOps Engineer. Position type ... Support and optimize big data pipelines using Spark. * Perform development and enhancements using ...

RIT Solutions

Devops engineer

Dallas, TX · On-site

$52.50 - $71.75/hr

DevOps Engineer Location: San Francisco, CA or Dallas, TX or Hopkins, MN or Charlotte, NC or ... big data concepts. * Monitoring & Logging: Experience implementing monitoring, logging, and ...

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

As of Jun 5, 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 are Big Data DevOps Engineers?

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, and why are they important?

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

Big Data DevOps Engineer

zdata

Boise, ID

$45.75 - $62.50/hr

Full-time

Posted 12 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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