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Big Data Systems Engineer (Remote)
Big Data Systems Engineer (Remote)KBR, Inc. • Phoenix, AZ, US
Big Data Systems Engineer (Remote)

Big Data Systems Engineer (Remote)

KBR, Inc. • Phoenix, AZ, US
7 days ago
Job type
  • Full-time
  • Remote
Job description

Overview

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.

Title : Big Data Systems Engineer (Remote) (KBR, Inc.).

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.
  • 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.

Work Environment

  • Location : Remote - The candidate can either work in one of KBR's facilities or work from home, with a stable internet connection.
  • Travel Requirements : 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 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 bachelors degree in a STEM field (Computer Science, Data Science, Statistics or related) 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.
  • 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.
  • Experience deploying and configuring Big Data and Knowledge Management tools in an enterprise environment; strong troubleshooting and documentation skills.
  • Must be comfortable assisting customers with installation and configuration of their big data infrastructure and communicating effectively with customers and stakeholders.
  • Experience with installation, configuration, integration with and usage of tools / technologies : NFS, SMB, S3, SQL Server, Windows Server, Windows 10 / 11, Linux (CentOS, Ubuntu, RedHat).
  • Ability to work with DoD ranges and labs, including environments with limited connectivity.
  • Preferred Qualifications

  • Experience working in government / defense labs and their computing restrictions.
  • Experience with major DoD acquisition programs.
  • Knowledge of TENA, JMETC and distributed testing and training.
  • Experience in distributed team environments and mentoring engineers.
  • Knowledge of DoD cybersecurity policies.
  • Compensation

    The offered rate will be based on the selected candidate's location, knowledge, skills, abilities and experience, clearance level, contract affordability and internal parity. Basic compensation ranges may include :

  • Denver, CO Area : $142,400 - $180,000
  • Los Angeles, CA Area : $148,900 - $200,000
  • Washington, DC Area : $148,900 - $200,000
  • Additional compensation may include bonuses, relocation benefits, short- and long-term incentives, or discretionary payments per internal policy or contractual designation.

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