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Big Data Systems Engineer

Job not on LinkedIn

🕒 April 8

🏈 Alabama, California, +2 more states – Remote

infoinfo

💵 $142.4k - $200k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⚙️ Systems Engineer

Where this job comes from

Posted on KBR, Inc.'s careers page, not through a job board

First seen by Remote Rocketship April 8

Still open on KBR, Inc.'s site. Checked 11 hours ago.

Logo of KBR, Inc.

KBR, Inc.

10,000+ employees

Founded 1901

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

KBR, Inc. is a global company that provides science, technology, and engineering solutions to governments and companies worldwide. Renowned for its commitment to sustainability, KBR delivers innovative and high-quality solutions in areas such as sustainable technology, government solutions, and digital acceleration. KBR is dedicated to creating a diverse and inclusive work environment, valuing its employees and fostering a culture of integrity and operational excellence. With a strong focus on delivering sustainable value for stakeholders, KBR operates as a trusted partner in various industries.

📋 Description

• Work on the deployment and integration of the 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 • Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments

🎯 Requirements

• Must have an active TS/SCI Security Clearance • Bachelor's degree in a STEM Computer Science, Data Science, Statistics or related technical field • 10 years of DoD experience • Three years of hands-on experience in the integration with and configuration of SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare • Five 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 • Extensive technical expertise in the configuration and troubleshooting of big data ecosystems • Excellent written and verbal communication skills • Comfortable assisting customers with installation and configuration of their big data infrastructure • Strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert • Experience with installation, configuration, integration with and usage of NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat)

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities • Bonuses, commissions, or other forms of compensation as per internal policy or contractual designation • Sign on bonus, relocation benefits, short-term and long-term incentives, or discretionary payments for exceptional performance

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