Data Modeling Engineer Remote in SC (W2 only)

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+