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Big Data Systems Engineer

Category Engineering, Technology, & Science Job Type Full time Job Id R2104961 Posted Date 05/20/2025
  • Washington, District of Columbia
  • Salt Lake City, Utah
  • Niceville, Florida
  • Nashville, Tennessee
  • Denver, Colorado
  • Austin, Texas
  • Phoenix, Arizona
  • Dallas, Texas
  • Los Angeles, California
  • Boston, Massachusetts
  • Houston, Texas
  • Seattle, Washington
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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

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 KBR’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 KBR 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, RedHat, 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 position. 
  • Experience with installation, configuration, integration with and usage of the following tools and technologies: Helms Charts, YAML, Kubernetes, Kubectl, Kubernetes IDE, NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat), Hadoop.
  • Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.
  • Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.
  • Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.
  • Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.
  • Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.
  • Excellent testing, debugging and problem-solving skills are required to be successful in this position.
  • Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.
  • Ability to speak and present findings in front of large groups.
  • Ability to document and repeat procedures.
  • This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.

Preferred Qualifications:

  • 10+ years of experience working in government / defense labs and within their computing restrictions.
  • Experience working in government/defense labs and their computing restrictions.
  • Experience working with major DoD acquisition programs, such as Joint Strike Fighter (JSF).
  • Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.
  • Experience with working in distributed team environment is preferred.
  • Ability to teach and mentor engineers with a variety of skill levels and backgrounds is a plus.
  • Knowledge of DoD cybersecurity policies.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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