Remote DoD Big Data Systems Engineer — CHEETAS

KBR Careers; Town of Florida (NY); On-site; USD 142,400 - 200,000; Full time

Benefits offered by this job

Optional bonuses

Relocation benefits

Discretionary payments

Job summary

A leading defense contractor is seeking a Big Data Systems Engineer to deploy and integrate the Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at DoD ranges. This remote position requires an active TS/SCI security clearance and at least 10 years of DoD experience, along with hands-on experience in big data environments. The role involves troubleshooting, collaborating with diverse teams, and presenting findings. Competitive salary ranges apply based on geographical location, alongside additional compensation and benefits.

Qualifications

• Minimum of 10 years of DoD experience.
• Minimum of 3 years experience with SQL Server Big Data Cluster.
• Extensive technical expertise in big-data ecosystems.

Responsibilities

• Deploy and integrate CHEETAS at DoD ranges.
• Act as primary interface for customers deploying CHEETAS.
• Resolve deployment issues with stakeholders.

Skills

Active TS/SCI security clearance

Hands-on experience configuring SQL Server

Proficiency in deploying big data tools

Strong troubleshooting skills

Communication skills

Experience with NFS, SMB, S3

Knowledge of Linux variants

Big data ecosystem troubleshooting

Education

Bachelor's degree in computer science or related STEM field

Tools

SQL Server

CentOS

Ubuntu

RedHat

Windows Server

VMware

Job description

A leading defense contractor is seeking a Big Data Systems Engineer to deploy and integrate the Cloud Hybrid Edge-to-Enterprise Evaluation Test & Analysis Suite (CHEETAS) at DoD ranges. This remote position requires an active TS/SCI security clearance and at least 10 years of DoD experience, along with hands-on experience in big data environments. The role involves troubleshooting, collaborating with diverse teams, and presenting findings. Competitive salary ranges apply based on geographical location, alongside additional compensation and benefits.