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Big Data Systems Engineer; Remote

Remote / Online - Candidates ideally in
Huntsville, Madison County, Alabama, 35824, USA
Listing for: KBR, Inc
Remote/Work from Home position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer, Cloud Computing, Cybersecurity
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Big Data Systems Engineer (Remote)

Title:

Big Data Systems Engineer (Remote)

Belong, Connect, Grow, with K !

K ’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.

K  is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the K  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

Big Data Systems Engineer – Job Summary

This is being hired nationwide as it is a remote work capable position.

The candidate can either work in one of K ’s facilities or work from home, assuming the candidate has a stable internet connection.

  • 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.
  • You will 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.
  • Come join the K  BDKM team and be a part of the award-winning team responsible for revolutionizing how data analysis is performed across the entire Department of Defense!

Roles and Responsibilities:

  • 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
  • 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

Basic Qualifications:

  • Must have an active U.S. government 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 Integration Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.
  • Previous experience must include integration with and configuration of: Hadoop, SQL Server Big Data Cluster, Kubernetes, CentOS, Ubuntu, Red Hat, Windows Server, VMWare, etc.)
  • Previous experience must include five (5) years of hands-on experience in big data environments.

Knowledge / Skills / Abilities:

  • Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
  • Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.
  • Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.
  • Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.
  • Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.
  • Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this…
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