Big Data Engineer

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 a 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, with the possibility of providing technical guidance to junior engineers or analysts. The role 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 client's digital ecosystem and project execution platforms.
• Ensure data reliability, security, and compliance with 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, and 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

• Bachelor's degree in Computer Science, Data Engineering, or related field.

Required Experience

• 3 5 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 globally renowned engineering, procurement, and construction organization with more than 125 years of history delivering some of the world's most complex infrastructure projects more than 25,000 of them across 160 countries on all seven continents. Its project portfolio spans energy and industrial, infrastructure, nuclear and environmental remediation, government services, and mining and metals sectors, with clients that include national governments, global energy companies, and the world's largest public agencies. With a Glassdoor rating of 4.0 stars from nearly 2,500 employee reviews and 78 percent of employees recommending the company to a friend including a 4.0-star rating for career opportunities, one of the highest in its sector the organization has earned genuine employee endorsement at scale. Teams here include civil and structural engineers, project controls specialists, procurement managers, nuclear and environmental remediation professionals, and corporate IT and ERP specialists who support projects that are technically demanding, geographically diverse, and operationally complex.

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

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