Senior Network Engineer / Cribl data modeling

Job Overview

Scope

This position will serve as a data modeling security engineer focused on Cribl ingestion within the Dept. The successful candidate will show extensive experience successfully designing, implementing and maintaining data modeling using Cribl for log ingestion in large scale security environments. This contractor will be working with a large enterprise security team and will assist full-time security architects and engineering staff with the design, implementation and integration of Cribl data modeling to enhance technologies and programs.

Required Skills (Rank in Order of Importance)

• Cribl data modeling and log pipeline design and implementation.
• Strong understanding of enterprise security architecture and engineering principles.
• Experience implementing and supporting enterprise security tools (SIEM, XDR, Vulnerability Management, DLP, endpoint security).
• Experience developing automation and integrations using scripting languages such as Python and Bash.
• Knowledge of cybersecurity best practices, threat detection, and defensive security strategies.
• Experience with Linux and Windows operating systems, including system hardening and security configuration.
• Understanding of networking concepts, security protocols, and secure system design.

Preferred Skills (Rank in Order of Importance)

• Hands-on Cribl data modeling experience.
• Hands-on SIEM administration, analysis, and reporting experience.
• Experience building and deploying Linux-based security sensors.
• Familiarity with security frameworks and compliance standards such as NIST CSF, CJIS, IRS 1075, and CMS MARS-E.

Required Education/Certifications

• Bachelor’s degree in an Information Technology or Information Security related field
• Eight years of relevant work experience may be substituted in lieu of education
• Five years of experience in supporting large IT environments and/or system deployments

Preferred Education/Certifications

• CISSP
• Security+

Pay: $90.00 per hour

Expected hours: 40.0 per week

Work Location: Remote