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NEXTMOVEFDE careers · United States

Big Data Systems Engineer

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

About KBR

Scientific, technology, and engineering services firm serving defense, intelligence, space, and energy clients via two segments: Mission Technology Solutions and Sustainable Technology Solutions.

Public · 5000+ people

Job description

The full responsibilities and requirements are on the employer’s site.

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Implementation & delivery · Evidence for this classification:

Title: Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR’s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs. Responsibilities: The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite
More from the job description

Title: Big Data Systems Engineer Belong, Connect, Grow, with KBR! KBR’s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs. Responsibilities: The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs. As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments. This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise. [... source excerpt omitted ...] of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at multiple DoD ranges and labs Deploy CHEETAS within customer environments Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity Work Environment: Location: Remote - The candidate can either work in one of KBR’ [... source excerpt omitted ...] avel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii). Working Hours: Standard Basic Qualifications/Knowledge: Must have an active TS/SCI Security Clearance to be considered for this position. This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position. Previous experience must include three (3) years of hands-on experience in the integration with and configuration of

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