Data Engineer Senior

GD Information Technology•Fort Bragg, NC

7d•Hybrid

About The Position

DATA ENGINEER SENIOR YOUR IMPACT Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of War’s mission to keep our country safe and secure. OUR COMPANY Iron EagleX (IEX), a wholly owned subsidiary of General Dynamics Information Technology (GDIT), delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. JOB DESCRIPTION The Data Engineer Senior will support the USASOC OTA Program in Fayetteville, NC (hybrid) or Remote , enabling U.S. Army’s 1st Special Forces Command (Airborne) and its subordinate units with resilient, scalable, and mission-ready data capabilities. MEANINGFUL WORK AND PERSONAL IMPACT As a Data Engineer Senior , you will support operationally critical data efforts for special operations teams working in dynamic, distributed, and high-tempo environments. You will design and maintain data pipelines that feed intelligence, operational planning, and mission analysis systems — ensuring the force has timely, accurate, and trusted data. You will collaborate closely with analysts, planners, and technical stakeholders to enable data-driven decisions across the command.

Requirements

Experience designing and maintaining scalable data pipelines and architectures.
Ability to analyze technical environments and recommend solutions to moderately complex challenges.
Experience integrating data science models and algorithms into automated workflows.
Strong ability to collaborate with technical and non-technical mission partners.
Ability to work independently under general supervision.
Comfortable supporting fast-paced, sensitive, or distributed operations common to special operations forces.
Current DoW SECRET Clearance is required
5+ years of related experience
Bachelor’s
US Citizenship Required

Nice To Haves

Experience with Palantir Foundry (data pipelines, ontology modeling, Code Workbooks, operational decision tooling).

Responsibilities

Contribute to the completion of specific programs and projects.
Create and maintain optimal data pipeline architecture supporting mission-critical workflows.
Develop and conduct tests to ensure data solutions meet documented user requirements.
Analyze operational IT environments to identify and assess critical capabilities and recommend solutions to moderately complex problems.
Collaborate with data science teams to transform data and integrate algorithms and models into automated processes supporting special operations.
Work with mission stakeholders — including operators, analysts, planners, Executive, Product, Data, and Design teams — to resolve data-related technical issues and support infrastructure needs.
May coach and review the work of less experienced professionals; may serve as a team or task lead.
Perform additional duties as assigned.

Benefits

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.

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