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Big Data Engineer Jobs in Reston, VA (NOW HIRING)

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

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

ByteCubed

Big Data Engineer

Arlington, VA · On-site

$64.25 - $84.75/hr

Big Data, Strategy and Business Architecture, Systems Engineering, Enterprise cloud services and solutions, PMO services, Innovation, R&D, Business Process and Improvements, and Software Engineering.

USM

Big Data Engineer

Washington, DC · On-site

$63.25 - $83.50/hr

Big Data Engineer Location: Washington, DC Duration: 6 Months Face to Face Must (NO SKYPE) must be Locals to VA/MD/DC Bachelor's degree in Computer Science, Computer or Electrical Engineering ...

USM

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

Inframatix Inc

Big Data Engineer

Chevy Chase, MD · On-site

$59.50 - $78.75/hr

Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode of Interview: Phone and Skype : 3 years of hands-on experience in the Hadoop ecosystem (HDFS, YARN ...

Jobsbridge

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing ... NET, Java EE, Ruby or other object oriented programming language Familiarity with map data ...

Inframatix Inc

Big Data Engineer

Chevy Chase, MD · On-site

$59.50 - $78.75/hr

Big Data Engineer Start Date: ASAP Location: Chevy Chase, MD Duration: 12--24+ Month Contract Mode of Interview: Phone and Skype : • 3 years of hands-on experience in the Hadoop ecosystem (HDFS ...

Techno Talent Inc.

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Big Data Developer Location: Rockville, MD or Tysons Corner, VA Work Setting: Onsite We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala ...

New

USM

Big Data Engineer

Alexandria, VA · On-site

$59.75 - $79/hr

... Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and ...

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $85/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON ...

SAIC

Big Data Engineer Senior

Arlington, VA · Remote

$64.25 - $84.75/hr

Big Data Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON ...

USM

Big Data Engineer (Fulltime only)

Reston, VA

$58 - $76.75/hr

Big Data Engineer_49415 Location: Reston, VA Duration: Full Time Description: * 6+ years of hands on experience and strong and deep knowledge of Java application development * Experience processing ...

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Big Data Engineer information

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How much do big data engineer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for big data engineer in Reston, VA is $65.52, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $73.80 per hour, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise remains critical for integrating AI tools effectively and ensuring data quality and security.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What is the job of a big data engineer?

A big data engineer designs, builds, and maintains large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

What are the key skills and qualifications needed to thrive as a Big Data Engineer, and why are they important?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

Will AI replace ETL?

Big Data Engineers design and manage ETL (Extract, Transform, Load) processes to prepare data for analysis. While AI and automation tools can optimize and assist with ETL tasks, they are unlikely to fully replace the role, as human oversight is essential for complex data integration and quality assurance. Skills in scripting, data modeling, and understanding data workflows remain critical in this field.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in distributed systems, cloud platforms, and data architecture can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data projects.
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Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $136,287 per year, or $65.5 per hour.

Senior Big Data Engineer

The Consortium, Inc.

Rockville, MD • On-site

$56.75 - $75.25/hr

Full-time

Posted 26 days ago

Job description

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
  • Leverage big data and cloud technologies to produce code
  • Engage in performance tuning and scalability engineering
  • Support engineering efforts throughout SDLC
  • Work effectively in small agile teams
  • Provide creative solutions to problems
  • Identify opportunities for improvement and execute

Requirements of the Big Data Engineer:
  • Experience with cloud-based Big Data technologies
  • Proficiency in Hive / Spark SQL
  • Experience with Spark
  • Experience with one or more programming languages
  • Forward-thinking innovator

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