Data Engineer - TS/SCI w/poly

General Dynamics Information Technology, Inc.; College Park (MD); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive benefits and wellness

401K with company match

Paid time off

Job summary

General Dynamics Information Technology, Inc. is seeking a Data Management and Systems Engineer in College Park, MD to design, implement, and operate advanced data systems for intelligence missions.

You will define storage, access, and integration strategies across diverse environments and collaborate with users to build scalable architectures. The role requires expertise in backend databases (SQL, NoSQL, HPC), data pipelines, and secure environments, with responsibility for optimization,

Qualifications

• Design, implement, and operate data management systems to meet intelligence mission needs.
• Develop strategies for storing, accessing, integrating, and managing data across diverse systems and regimes.

Responsibilities

• Design, implement, and operate data management systems to meet intelligence mission needs
• Develop strategies for storing, accessing, integrating, and managing data across diverse systems and regimes
• Work with data users to determine, create, and maintain optimal data architectures, structures, and systems
• Plan, design, and optimize data throughput, query performance, and overall data pipeline efficiency
• Participate in the selection, configuration, and utilization of backend database technologies (e.g., SQL, NoSQL, HPC)
• Develop, maintain, update, and refine database solutions and related infrastructure
• Maintain ISSO certification and ensure compliance with applicable security standards
• Provide technical expertise in IT activities, including advanced data exploration, analysis, and synthesis
• Research, apply, and support data science techniques to store, manipulate, transform, and present information
• Perform and report key performance indicators for data science initiatives to leadership
• Evaluate new and emerging technologies to enhance mission capabilities
• Lead efforts to develop and enhance database capabilities and computer-based visualization systems

Education

Bachelor’s degree with 8 years’ experience

Master’s degree with 12 years related experience or bachelor’s degree with 17 years’ experience

Job description

Program Overview

GDIT delivers critical all-source intelligence on foreign military and civilian cyber actors, their infrastructure, and the broader ecosystems in which they operate. This intelligence directly supports foundational military intelligence (FMI) requirements for the joint force and aligns with mission portfolios.

On this program, GDIT provides a wide range of analytic and mission-enabling support to produce operationally relevant FMI and scientific and technical intelligence (S&TI) for cyberspace operations. We support the full intelligence cycle planning, collection, processing, exploitation, production, and dissemination and perform integrated mission management.

All support is focused on enhancing the customer’s ability to conduct both defensive and offensive cyberspace operations.

Position Overview

The Data Management and Systems Engineer is responsible for designing, implementing, and operating advanced data management systems in support of intelligence mission objectives. This role defines data storage, access, integration, and management strategies across diverse data environments and digital systems. The engineer collaborates closely with data users to build optimal data architectures and structures, ensuring efficient throughput and high-performance queries. The position involves selecting and configuring backend database technologies, optimizing data pipelines, and maintaining secure and certified environments. The engineer also provides technical expertise in data science methodologies, supports IT operations, evaluates emerging technologies to enhance mission capabilities, and leads initiatives to advance database and visualization systems.

Job Requirements:

• Design, implement, and operate data management systems to meet intelligence mission needs
• Develop strategies for storing, accessing, integrating, and managing data across diverse systems and regimes
• Work with data users to determine, create, and maintain optimal data architectures, structures, and systems
• Plan, design, and optimize data throughput, query performance, and overall data pipeline efficiency
• Participate in the selection, configuration, and utilization of backend database technologies (e.g., SQL, NoSQL, HPC)
• Develop, maintain, update, and refine database solutions and related infrastructure
• Maintain ISSO certification and ensure compliance with applicable security standards
• Provide technical expertise in IT activities, including advanced data exploration, analysis, and synthesis
• Research, apply, and support data science techniques to store, manipulate, transform, and present information
• Perform and report key performance indicators for data science initiatives to leadership
• Evaluate new and emerging technologies to enhance mission capabilities
• Lead efforts to develop and enhance database capabilities and computer-based visualization systems

Education and Desired Experience:

Principal level: Bachelor’s degree with 8 years’ experience.

Senior Principal level: Master’s degree with 12 years related experience or bachelor’s degree with 17 years’ experience.

Clearance: TS/SCI with active poly
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

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