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Über diese Data Engineer Senior Principal- TS/SCI w/poly Stelle bei GDIT

GDIT · Vor Ort · USA MD College Park

Type of Requisition:

Pipeline

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Architecture Development, Data Management, Data Solutions

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

DATA ENGINEER SENIOR PRINCIPAL

Program Overview

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


On this program, GDIT provides a broad range of analytic and mission‑enabling support to produce operationally relevant FMI and scientific and technical intelligence (S&TI) for cyberspace operations. Our support is not limited to analysis; we engage across the entire intelligence cycle—planning, collection, processing, exploitation, production, and dissemination—while also executing integrated mission management functions.

All support is focused on enhancing the customers’ ability to enable 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 Required 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.

The likely salary range for this position is $147,292 - $199,278. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA MD College Park

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

 


Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

 

 

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
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Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $173,285/yr — im Einklang mit der üblichen Spanne für Data Engineer Stellen.

$97,819 dem Median $158,225 $242,500

Übliche Spanne $125,000–$197,100/yr, aus 1,643 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über GDIT

Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world. For more information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT

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