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Big Data Devops Engineer Jobs (NOW HIRING)

Versa Networks

Data DevOps Engineer

Santa Clara, CA · On-site

$200K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Interface with DevOps teams to build out the pipelines. * Interface with Data Scientists and ... We celebrate achievements both big and small, with regular recognition programs and awards that ...

Forhyre

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

Looking for an experienced Senior Big Data Developer Experience: 8 - 10 years Job Location: Rolling Meadows, IL Requirements Primary / Essential Skills : SPARK with Scala or Python Secondary ...

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 ...

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

As of Aug 15, 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 developer / Architect

IRIS Software

Jersey City, NJ • On-site

Contractor

Re-posted 28 days ago

Job description

Job Description

Hello,


Please find below the Job Description for Big Data developer / Architect role with one of my direct client. 

If you believe you are qualified and interested in this role then please send me an updated copy of your resume ASAP.  


JOB TITLE: Big Data developer / Architect   

LOCATION: Jersey City, NJ 

DURATION: Long Term


JOB DESCRIPTION: 


Requirement Details


We have open requirements for 1 Big Data architect and 1 Big Data senior developer. Below are the key skills we are looking for in potential candidates:


Must haves: 

8+ years' experience working with Java and relevant technologies

Current hands-on experience with implementation of large strategic platform using java or similar technologies

3+ years' experience with Hadoop and other Industry BigData Frameworks (HDFS, Yarn, Spark, Stream processing, etc)

Experience with no-sql database, time-series database, elasticsearch/solr

Experience with Enterprise scale integration designs and development with a variety of interface partners (public and private sector) and methods (REST, Enterprise Service Bus, Secure FTP, etc.) 


Nice to haves:

Experience with Synchronous and asynchronous system integration approaches, e.g., message queues, Publish /Subscribe, Request/Response, etc

Familiarity with rules engine (DROOLS), python

Familiarity with testing frameworks (JUnit/TestNG) and concepts (Test Driven Development, Regression and Parametric testing)

Strong knowledge of various configuration/source code management tools (SVN, Maven, Git)

Thanks and Regards....!!!!

Sansar Singh

IRIS Software, Inc. 

Direct Phone: 732 917 7674 | Fax: 732 301 8009


Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply