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Big Data Operations Engineer Jobs (NOW HIRING)

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a skilled and motivated Big Data Engineer ...

Big Data Engineer

San Antonio, TX · On-site

$50.25 - $66.50/hr

Cymertek Corporation is seeking a skilled and motivated Big Data Engineer to join their team. In this role, you will design, develop, and maintain data pipelines to support business intelligence and ...

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

They are seeking a skilled and motivated Big Data Engineer to design, develop, and maintain data pipelines, optimize data storage solutions, and support business intelligence and analytics needs.

Big Data Engineer

$57 - $75.50/hr

Senior Software Engineer, Big Data Duration : Long Term Exp: 10+ years Job Overview : We are currently seeking an Senior Big Data Engineer in Hadoop Plaftform. Our ideal candidate exhibits a can-do ...

Big Data Engineer

Rockville, MD · On-site

$56.75 - $75.25/hr

We are seeking a highly skilled and experienced Big Data Engineer to design, develop, and optimize large-scale data processing systems. In this role, you will work closely with cross-functional teams ...

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

Big Data Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Data Operations Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

Manage expectations, communicate technical roadmaps, and translate mission-specific data needs into engineering tasks * Assist with daily DataOps team operations to accelerate data availability and ...

New

Big Data Engineer

Honolulu, HI · On-site

$55 - $73/hr

Big Data Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

Big Data Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated ...

Big Data Engineer

Chantilly, VA · On-site

$57 - $75.50/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a skilled and motivated Big Data ...

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

Big Data Engineer Location: Dallas, TX (Hybrid) JD: Summary We are looking for an experienced Big Data Engineer with 7-10 years of hands-on experience to design, build, and maintain scalable data ...

GCP Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

They are seeking a GCP Big Data Engineer to help build and enhance their Big Data applications ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Showing results 41-60

Big Data Operations Engineer information

See salary details

$15

$62

$88

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

As of Sep 11, 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.

Big Data Engineer

Reston, VA • On-site

Cymertek Corporation
IT Services • 11 - 50 employees

$58 - $76.75/hr

Other

Posted 9 days ago


Job description

Big Data Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are looking for a skilled and motivated Big Data Engineer to join our team and help build scalable, high-performance data systems. In this role, you will design, develop, and maintain data pipelines, ensure efficient data processing, and optimize data storage solutions to support business intelligence and analytics needs. You will work closely with cross-functional teams to handle large-scale datasets, implement best practices in data architecture, and explore innovative technologies in the big data ecosystem. The ideal candidate has a deep understanding of distributed systems, data processing frameworks, and a passion for leveraging data to drive impactful insights. If you are eager to work in a fast-paced, data-driven environment, we want to hear from you.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLESData Engineer, Data Architect, Hadoop Developer, Spark Engineer, ETL Developer, Data Platform Engineer, Cloud Data Engineer, Database Engineer, Data Infrastructure Engineer, Analytics Engineer, etc. DEGREE (Level Desired)Bachelor's Degree DEGREE (Focus)Computer Science, Data Science, Information Systems, Software Engineering, Electrical Engineering, Mathematics, Statistics, Computational Science, Information Technology, Applied Physics, etc. ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES
  • Experience with designing scalable data pipelines
  • Proficiency in managing big data tools
  • Strong understanding of distributed systems
  • Expertise in data storage optimization
  • Familiarity with data governance practices
  • Ability to ensure data pipeline reliability
REQUIRED SKILLS
  • Proficiency in programming (e.g., Java, Python)
  • Expertise in data processing frameworks (e.g., Spark)
  • Skill in working with data storage systems (e.g., HDFS)
  • Familiarity with data query tools (e.g., SQL)
  • Ability to handle structured and unstructured data
  • Proficiency in data workflow orchestration tools
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