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Big Data Devops Engineer Jobs (NOW HIRING)

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 ...

Company Description 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 ...

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 ...

Big Data Developer

Signal Hill, CA · Remote

$56.50 - $73.50/hr

This global organization is expanding their data department. They want a Sr. Developer who is comfortable working with business stakeholders/users. Be responsible for helping the business users ...

Software/DevOps Engineer

Annapolis, MD · On-site

$52.25 - $71.50/hr

The DevOps Engineer shall be responsible for implementing a Zero-touch provisioning (ZTP) solution ... big data such as Splunk and Elastic Stack § Experience with SQL technologies such as MySQL ...

DevOps Engineer (2924)

Columbia, MD · On-site

$51.25 - $70.25/hr

Position name: (2924) DevOps Engineer Position location: Columbia, MD, United States Current Secret ... in Big Data solutions, configuration management, automation, scripting, containers, and AWS. The ...

Big Data Developer

Los Angeles, CA · On-site

$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 ...

DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Devops engineer to support the devops platform which includes * Java ...

DevOps Engineer

San Jose, CA

$61.75 - $84.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Devops engineer to support the devops platform which includes * Java ...

Senior Big Data Developer

Bristol, CT

$53 - $68.75/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Responsibilities: Design, develop and implement big data solutions on both ...

Big Data Engineer

Costa Mesa, CA · On-site

$59.75 - $79/hr

Big Data Engineer Costa Mesa , CA or PHX or Bay Area Contract Job Responsibilities 10+ years of ... Good to have DevOps experience (GIT, GitHub, Bit Bucket, GitLab, IntelliJ IDEA, PyCharm) Good to ...

Big Data Developer

Phoenix, AZ

$52.50 - $68.25/hr

At least 2 years of experience in Big Data technology stack HDFS (MapR distribution), Map Reduce using Java, PIG, Hive. Knowledge of data modeling in NOSQL HBase is required. Atleast 2 years of ...

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 ...

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 ...

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

Data Platform and Big Data: SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO ...

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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.
More about Big Data Devops Engineer jobs
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:

DevOps/Data Engineer

Pivotal Solutions

Fargo, ND • On-site

$51.75 - $71/hr

Full-time

Posted 8 days ago


Job description

Job Description
  • Drive the infrastructure strategy alongside the rest of the DevOps team
  • Be responsible for building, managing, and automating our AWS infrastructure
  • Oversee the maintenance and growth of our data lakehouse infrastructure and implementation
  • Champion security by adopting necessary tools and processes
  • Provide leadership to the entire engineering team on various infrastructure and big data topics
  • Identify and adopt high-level technologies, processes, and services that impact the organization on a system-wide scope
  • Participate in the L2 rotation for engineering support

Requirements
  • 8+ years of experience as a DevOps Engineer
  • 5+ years of experience with the AWS cloud platform, including proficiency with AWS SDK, AWS CLI/UI, and services such as VPC, Route53, Private and Public subnets, route tables, IGW, EC2 Instances, CloudFront, API Gateway, IAM, ELB, Autoscaling, CloudWatch, EFS, NFS, EBS, S3, RDS, Lambda, SQS/SNS, Kafka, Security groups, etc.
  • 5+ years of experience with Terraform/Terragrunt
  • 5+ years of experience with event processing infrastructure
  • 2+ years of experience as a Data Engineer with Databricks, including data pipelines, Debezium, Spark, and data modeling
  • Expert proficiency with Python
  • Model serving experience
  • Expert proficiency in deploying, maintaining, and scaling applications
  • Proficiency with Docker, Kubernetes, and Serverless functions
  • Expert proficiency in setting up CI/CD pipelines (tools/processes/governance)
  • Experience creating and maintaining fully automated CI/CD pipelines for code deployment using tools such as Git, CircleCI, AWS Code build, and Code Deploy / Code pipeline
  • Proficient with both Relational and Non-Relational databases
  • Experience with Security vulnerability scanning tools (Guard Duty, Inspector)
  • Experience building Monitoring dashboards and leveraging tools such as Cloudwatch, Datadog, and Sumologic