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Big Data Devops Engineer Jobs (NOW HIRING)

ALKU

DevOps Engineer with Security Clearance

Bethesda, MD

$56.50 - $77.25/hr

This program advances the state of the art in mission-focused big data analytics tools and micro ... DevOps scripts and processes to facilitate faster development, quicker error detection and ...

Jobsbridge

DevOps Engineer

Boston, MA · On-site

$57.25 - $78.50/hr

Emergent technology staffing (UI/UX developers & designers, Mobility & Cloud Engineers, Big Data ... The ideal candidate has extensive DevOps knowledge and experience, and has previously managed ...

Software Guidance & Assistance

Big Data Engineer

Rockville, MD · Hybrid

$56.75 - $75.25/hr

This role combines traditional systems administration with modern DevOps practices, leveraging ... Big data operations activities for AWS services in support of the processing of market volumes of ...

The Consortium, Inc.

Senior Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We have an exciting opportunity for a Big Data Engineer with our client in Rockville. Responsibilities of the Big Data Engineer: * Analyze system requirements and design responsive solutions

Lorven Technologies

Senior DevOps Engineer

Alpharetta, GA · On-site

$126K - $163K/yr

Senior DevOps Engineer - Azure, Terraform & Databricks Location: Alpharetta GA - Onsite Must ... Build and manage big data clusters, including Azure Databricks and On-Premise Hadoop, for advanced ...

Artech

DevOps Engineer

Irving, TX · On-site

$65 - $71/hr

Azure Data Engineer Associate (DP-203) or Azure DevOps Engineer Expert (AZ-400). Day-to-Day Responsibilities * Implement CI/CD Pipelines: Design and maintain continuous integration and continuous ...

Verisk

Principal DevOps Engineer

Boston, MA · On-site

$140K - $175K/yr

The Principal DevOps Engineer will lead the design of our engineering platform, standards, and ... And we are looking for people like you to help us translate big data into big ideas. Join us and ...

Northstrat

DevOps Engineer

Columbia, MD

$52.25 - $71.75/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill ...

Northstrat

DevOps Engineer

Fort Belvoir, VA · On-site

$59.75 - $81.75/hr

The DevOps Engineer will be responsible for implementing infrastructure, automating deployment ... Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill ...

The ICE Group

DevOps Engineer, AWS Expert!

San Mateo, CA · On-site

... Big Data Analytics with IoT and massive Video Data Ingestion (CV & ML) . Their mission is to save ... Finally, in the spirit of DevOps you will be embedded with talented developers to streamline our ...

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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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What job categories do people searching Big Data Devops Engineer jobs look for? The top searched job categories for Big Data Devops Engineer jobs are:
Big Data Devops Engineer jobs near you
DevOps Engineer with Security Clearance

DevOps Engineer with Security Clearance

ALKU

Bethesda, MD

$56.50 - $77.25/hr

Other

Posted 2 days ago

Job description

DevOps Engineer Program Description: We support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open-Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. This program advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. Day to Day Responsibilities: To deploy, triage and maintain a big data pipeline production using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging
Enhance, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development, quicker error detection and resilient deployment
Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
Use Helm to configure Kubernetes deployments to support new feature requirements.
Collaborate with System Engineers to design solutions for new features and requirements
Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings

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