Big Data Systems Engineer (Remote)

KBR•Huntsville, FL

13d•$142,400 - $200,000•Remote

About The Position

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. 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.

Requirements

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: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)
Previous experience must include five (5) years of hands-on experience in big data environments.
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: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).
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.

Nice To Haves

Experience working in government/defense labs and their computing restrictions.
Experience working with major DoD acquisition programs.
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.
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.
Knowledge of DoD cybersecurity policies.

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
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

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume