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Big Data Operations Engineer Jobs (NOW HIRING)

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... s Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado is seeking a DevOps Engineer with a Big Data focus for a direct hire position. This position will ...

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... s 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 ...

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... s Engineer with a Big Data focus to join a 20-person development team. The role involves designing, developing, implementing, and supporting systems that handle large-scale real-time data processing.

Big Data DevOps Engineer

Boise, ID

$45.75 - $62.50/hr

... Big Data space. This position will report to the DevOps Managed Services division and be responsible for creating and maintaining DevOps environments for ZData clients. Summary Description:

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

... Big Data space. This position willreport to the DevOps Managed Services division andbe responsible for creating and maintaining DevOps environments for ZData clients. Summary Description:

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

ClifyX is a company specializing in data solutions, and they are seeking a Scala Spark Developer to enhance their big data operations. The role involves hands-on experience with Spark, Hive, and ...

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Syntricate Technologies is seeking a Big Data Engineer to join their team. The role involves ... frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Maven). • Strong ...

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Specter is hiring a data operations engineer to build our research data operation. This individual will own the full pipeline from defining what data we need, to getting it labeled at high quality ...

... data structures, and engineering constraints) and operational rigor. You don't just identify broken ... Ability to balance "big picture" strategic work (pricing, analysis) with "in the weeds" execution ...

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum ... ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain ...

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... API Development (proper microservice separation, HTTP verb usage) * DevOps - understanding of OS ...

Big Data Engineer

Reston, VA · On-site

$51 - $66/hr

... Data Engineering, or related field. * 3-5+ years of experience in big data engineering roles ... operational excellence, and customer success.

Big Data Engineer

Creve Coeur, MO · On-site

$52.25 - $69/hr

As a big data engineer you will develop innovative software using state of the art big data ... API Development (proper microservice separation, HTTP verb usage) * DevOps - understanding of OS ...

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Big Data Operations Engineer information

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

As of Sep 10, 2026, the average hourly pay for big data operations engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What does a Big Data Operations Engineer do?

A Big Data Operations Engineer is responsible for managing, monitoring, and optimizing large-scale data processing systems and infrastructure. They ensure that data pipelines, storage, and processing frameworks like Hadoop, Spark, or Kafka run smoothly and efficiently. Their duties often include troubleshooting issues, automating workflows, configuring clusters, and collaborating with data engineers and analysts to support data-driven applications. They play a crucial role in maintaining the reliability, scalability, and performance of big data environments.

What are the key skills and qualifications needed to thrive as a Big Data Operations Engineer?

To thrive as a Big Data Operations Engineer, you need strong skills in data engineering, distributed systems, and scripting languages, typically supported by a degree in computer science or related field. Familiarity with big data tools such as Hadoop, Spark, Kafka, and cloud platforms, as well as experience with monitoring and automation systems, is essential. Problem-solving, attention to detail, and effective communication are standout soft skills for this role. These skills ensure the reliable operation, scalability, and performance of big data infrastructures critical for data-driven organizations.

What are the typical challenges faced by a Big Data Operations Engineer when managing large-scale data pipelines?

Big Data Operations Engineers often encounter challenges such as ensuring the reliability and scalability of data pipelines, managing real-time data ingestion, and troubleshooting performance bottlenecks. They must also address data quality issues and coordinate with development and analytics teams to minimize downtime during deployments or upgrades. Proactive monitoring, automation, and collaboration with cross-functional teams are essential to overcoming these challenges and maintaining seamless data operations.

What are popular job titles related to Big Data Operations Engineer jobs?

For Big Data Operations Engineer jobs, the most frequently searched job titles are:

Infographic showing various Big Data Operations Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

DevOps Engineer (Big Data)

Denver, CO • On-site

$54.25 - $74.25/hr

Full-time

Re-posted 27 days ago


Job description

Company Description

Since 2002, Quantix ProTech has successfully delivered IT resources and solutions to companies while building a solid reputation for integrity and consistent quality.  Quantix ProTech continues to partner with the commercial sector for specialized IT placement and staffing services.  Quantix ProTech was recently featured in US News and World Report and Forbes.  

Job Description

Job Title: DevOps Engineer (Big Data)
Location:  Denver, CO
Type:  Direct Hire
Job Description:  Client located in Denver, Colorado is seeking a DevOps Engineer with a Big Data focus for a direct hire position.  This position will participate on a 20 person team of developers.  Responsibilities include designing, developing, implementing and supporting systems that process massive amounts of real-time data.
Required Skills:
1) Java.
2) AWS.
3) Big Data.
Desired Skills:
1) Jenkins / Puppet / Chef.
2) Kafka.
3) Spark.
4) Hadoop.
5) Cassandra.
6) Geospatial data.

Qualifications

Required Skills:
1) Java.
2) AWS.
3) Big Data.
Desired Skills:
1) Jenkins / Puppet / Chef.
2) Kafka.
3) Spark.
4) Hadoop.
5) Cassandra.
6) Geospatial data.

Additional Information

All your information will be kept confidential according to EEO guidelines. If your interested, send a copy of your resume at henriquez@quantixinc. com or reach me at 303-557-4014.