Big Data Systems Engineer

About the role

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. This position involves deploying CHEETAS within customer environments, working closely with system administrators and software developers to resolve deployment issues, and deploying CHEETAS within disparate DoD testing ranges and acquisition programs environments.

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.

Qualifications

• Active TS/SCI Security Clearance.
• Bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience.
• 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.
• Five (5) years of hands-on experience in big data environments.
• Adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
• Extensive technical expertise in the configuration and troubleshooting of big data ecosystems.
• Excellent written and verbal communication skills and ability to assist customers with installation and configuration of their big data infrastructure.
• Strong troubleshooting skills and ability to become a CHEETAS deployment subject matter expert.
• Comfortable working with a wide range of stakeholders and functional teams at various levels of experience.
• 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).
• Ability 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.
• Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level.
• 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.

Priorities

• 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.

Compensation

The offered rate will be based on the selected candidate’s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity. KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.