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Big Data Engineer

The Client


Job Location:

Reston, VA - USA

Hourly Salary: USD 51 - 66
Posted: 8 September 2026 (18 hours ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary

Big Data Engineer

Location: Reston VA

Onsite Flexibility: Hybrid 3 days in office 2 days remote

Contract Details
  • Position Type: Contract
  • Contract Duration: 12 months
  • Pay Rate: $51.40$66.71 / Hour (USD)
  • Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Job Summary

The Big Data Engineer will design develop and maintain the clients big data ecosystem to support advanced analytics and data-driven decision-making across engineering procurement and construction workflows. This role is pivotal in enabling scalable secure and efficient data solutions for projects in semiconductor electric vehicle advanced materials and data center sectors.

The position reports to the Digital Solutions Lead and works under general direction. The role may provide technical guidance to junior engineers or analysts and involves frequent interaction with data scientists project managers IT teams and business stakeholders.

Key Responsibilities
  • Design and implement big data architectures including ingestion processing and modeling of heterogeneous data sources.
  • Develop and maintain ETL/ELT pipelines for structured and unstructured data.
  • Work closely with data scientists analysts and business SMEs to deliver actionable insights.
  • Integrate big data solutions with the clients digital ecosystem and project execution platforms.
  • Ensure data reliability security and compliance with the clients governance policies.
  • Optimize data workflows for scalability and efficiency.
  • Explore emerging technologies and frameworks to enhance data engineering capabilities.
  • Support automation and advanced analytics initiatives across projects.
Required Skills
  • Proficiency with big data cloud platforms (AWS Azure) and tools such as Hadoop Spark Kafka.
  • Strong skills in Python SQL and data modeling techniques.
Preferred Skills
  • Experience with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Familiarity with data governance frameworks and enterprise data architecture.
  • Knowledge of engineering and construction workflows is a plus.
Education Requirements
  • Bachelors degree in Computer Science Data Engineering or related field.
Required Experience
  • 35 years of experience in big data engineering roles.
Benefits
  • Medical Vision and Dental Insurance Plans
  • 401k Retirement Fund
About the Client

This client is a privately held engineering procurement and construction firm with more than 125 years of history delivering some of the worlds most complex infrastructure projects more than 25000 across 160 countries on all seven continents. Operating across energy and industrial infrastructure nuclear and environmental remediation government services and mining and metals sectors the organization works at exceptional scale with clients including national governments global energy companies and the worlds largest public agencies. With a Glassdoor rating of 4.0 stars from nearly 2500 employee reviews and 78 percent of employees recommending the company to a friend the firm has earned genuine employee endorsement for its competitive compensation large-scale project access and strong career development opportunities. Teams here include civil and structural engineers project controls specialists procurement managers nuclear and environmental remediation professionals and IT/ERP technical specialists who operate across geographically diverse technically demanding engagements.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking financial services technology life sciences biotech utilities and retail sectors throughout the U.S. and Canada.

Job Number: 26-12081 Industry: Data & Analytics

#LI-Hybrid


Required Experience:

IC