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Big Data Devops Engineer Jobs (NOW HIRING)

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer with a Big Data focus to join a team of developers in designing and supporting systems for processing large volumes of real-time data. Responsibilities : • ...

Big Data Developer

Phoenix, AZ · On-site

$52.50 - $68.25/hr

HIVE, PIG, Ozzy, Fully hands on Big Data developer Duration:1 year Additional Information Big data Developer needed

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 ...

Big Data Developer

Chicago, IL · On-site

$54.50 - $70.75/hr

Big Data Developer Location: Chicago, IL Duration: 6 - 24 Months REQUIRED SKILLS: * Development * Design/architecture * Hadoop Talend Hortonworks * Pig * Hive * Kafka Spark Big Data Developer * 4-6 ...

Big Data developer

Redmond, WA

$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 ...

Big Data Developer

Irving, TX · On-site

$51 - $66/hr

Big Data Developer Location: Irving, TX Duration: Long Term Responsibilities: 1). Develop software using Hadoop technologies like Spark, Scala, Python, Hbase, Hive, Cloudera. 2). Fine tune ...

Big Data Developer

Mooresville, NC · On-site

$50.25 - $65/hr

They are seeking a Big Data Developer to code, test, and analyze application software while improving existing code and collaborating with team members to enhance software effectiveness.

Big Data Developer

Strongsville, OH · On-site

$49 - $63.50/hr

Big Data Developer Location: Strongsville OH, /Pittsburgh, PA /Dallas, TX Duration: Fulltime Skill: Big Data Must Have Technical/Functional Skills: * Bigdata Hadoop & ecosyst em, Scala/Python ...

Big Data Developer

Dallas, TX · On-site

$52.75 - $68.25/hr

Big Data Developer Must Have Technical/Functional Skills: * Bigdata Hadoop & ecosystem, Scala/Python, PySpark. * Oracle PL/SQL, CI/CD, Excellent communication, Data Lake, Informatica, Teradata. Roles ...

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Big Data Developer Location: Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have ...

Big Data Developer

Dallas, TX · On-site

$52.75 - $68.25/hr

Big Data Developer Must Have Technical/Functional Skills: * Bigdata Hadoop & ecosystem, Scala/Python, PySpark. * Oracle PL/SQL, CI/CD, Excellent communication, Data Lake, Informatica, Teradata. Roles ...

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 ...

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 experience in LINUX, Java ...

Big Data Engineer

Costa Mesa, CA · On-site

$59 - $78.25/hr

Big Data Engineer Location: Costa Mesa, CA or Allen, TX Duration: Fulltime Big Data Engineer Must ... Knowledge of DevOps practices and Jenkins automation for CI/CD. * Familiarity with containerisation ...

New

Big Data Developer

San Jose, CA

$62 - $80.50/hr

Hadoop Big Data Technologies HBase Linux Core Java Mongo DB Big Data Architecture knowledge is prefered Additional Information All your information will be kept confidential according to EEO ...

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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 Sep 4, 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 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.

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 the salary of a Big Data Devops Engineer in big data?

The salary of a Big Data DevOps Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and certifications. Skilled in tools like Hadoop, Spark, and cloud platforms, they often work in fast-paced environments requiring strong scripting and automation skills.
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Infographic showing various Big Data Devops Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

DevOps Engineer (Big Data)

Quantix, Inc.

Denver, CO • On-site

$54.25 - $74.25/hr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Quantix ProTech has been delivering IT resources and solutions since 2002, establishing a strong reputation in the industry. They are seeking a DevOps Engineer with a Big Data focus to join a team of developers in designing and supporting systems for processing large volumes of real-time data.
Responsibilities:
• designing, developing, implementing and supporting systems that process massive amounts of real-time data.
Qualifications:
Required:
• Java
• AWS
• Big Data
Preferred:
• Jenkins / Puppet / Chef
• Kafka
• Spark
• Hadoop
• Cassandra
• Geospatial data
Company:
*We at Quantix prioritize your privacy. Founded in 2002, the company is headquartered in Denver, USA, with a team of 51-200 employees. The company is currently Growth Stage.