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Big Data Devops Engineer Jobs (NOW HIRING)

NewGen Technologies

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 ...

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 ...

NewGen

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 ...

Ventures Unlimited Inc

Big Data Developer (Java)

Richmond, VA · On-site

$52.50 - $68/hr

Big Data Developer (Java) Location : Richmond, VA Type : Full Time Permanent : Should be having very good expertise in core java concepts Should be having hands on with various scripts like shell ...

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 ...

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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.

Software/DevOps Engineer

Fuse Engineering LLC

Annapolis Junction, MD • On-site

$58 - $79.50/hr

Full-time

Re-posted 4 days ago

Job description

Description

 The DevOps Engineer shall be responsible for implementing a Zero-touch provisioning (ZTP) solution as part of an Infrastructure as a Service (IaaS) for complex High Performance Computing Systems. DevOps activities include requirements analysis, design, implementation, testing, and sustainment. The primary focus is integrating COTS and FOSS products, packages, and libraries. The DevOps Engineer must have a demonstrated understanding of the software development lifecycle 

Requirements

 TS/SCI w/ Polygraph Clearance Required


Experience using the Linux CLI

Experience with scripting using Bash/Python

Experience with IaC (Infrastructure as Code) principles and automation tools such as

Ansible, SaltStack, and Terraform

Experience with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins

Experience developing with multiple programming languages such as Java, Go, and Python

Experience with software frameworks used for searching, monitoring, and analyzing big data such as Splunk and Elastic Stack

Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL

Experience with NoSQL technologies such as MongoDB and Elasticsearch

Experience with designing, implementing, and using REST and/or RPC APIs

Experience with Git Source Control System


Position Desired Skills

Experience with Messaging Frameworks such as Kafka, ActiveMQ, and RabbitMQ

Experience with tools used for metrics visualization such as Grafana and Kibana

Experience with containerization technologies such as Docker

Experience with the Atlassian Tool Suite (JIRA, Confluence)

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