Big Data Systems Engineer; Remote

Title

Big Data Systems Engineer (Remote)

Belong, Connect, Grow, with K ! K ’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.

• The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called 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 and serving as the frontline interface with customers during initial deployment.
• Will work closely with system administrators and software developers to communicate, document and 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.

• Location:
  
  Remote – can work from home with a stable internet connection or from one of K ’s facilities.
• Travel Requirements:
  Approximately 25% with surges up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).
• Working Hours:
  
  Standard

• Active TS/SCI Security Clearance.
• Bachelor's 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.
• 3 years of hands-on experience with integration and configuration of SQL Server Big Data Cluster, CentOS, Ubuntu, Red Hat, Windows Server, VMware, etc.
• 5 years of hands-on experience in big data environments.
• Experience deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.
• Extensive technical expertise in 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.
• Ability to work with a wide range of stakeholders and teams at various levels of experience.
• Excellent interpersonal, oral and written communication skills; strong personal motivation.
• Experience with installation, configuration, integration with and usage of NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, Red Hat).
• Willingness to learn new business processes or CHEETAS nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.
• Ability to problem solve, debug, and troubleshoot under time constraints.
• Ability to present findings to both experts and non-experts at management and technical levels.
• Ability to work independently and provide recommendations for optimal design, analysis, and development.
• Experience communicating with project leads and end users while away from other team members.
• Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.
• Ability to document and repeat procedures.
• Travel requirement of ~25% with surges up to 50% to support end users located at various DoD Ranges and Labs across the United States.

• Experience in government/defense labs and their computing restrictions.
• Experience with major DoD acquisition programs.
• Knowledge of TENA, JMETC and distributed testing and training.
• Experience working in distributed team environments.
• Ability to mentor engineers with varying skill levels.
• Knowledge of DoD cybersecurity policies.

$142,400 - $180,000 (Denver, CO Area)

$148,900 - $200,000 (Los Angeles, CA Area)

$148,900 - $200,000 (Washington, DC Area)

The offered rate will be based on location, knowledge, skills, abilities and experience, clearance level, program affordability, and internal…