Data Modeling Security Engineer
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Role details
Tech stack
Requirements
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Bachelors Degree in an Information Technology or Security related field (8+ years of relevant work experience may be substituted in lieu of education).
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5+ years of experience in supporting large IT environments and/or system deployments
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CRIBL Data Modeling and Log Pipeline Design and Implementation
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Experience developing automation and integrations using scripting languages such as Python and Bash.
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Knowledge of Cybersecurity Best Practices, threat detection, and defensive security strategies.
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Experience with Linux and Windows operating systems, including system hardening and security configuration.
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Understanding of networking concepts, security protocols, and secure system design.
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Experience implementing and supporting enterprise security tools (SIEM, XDR, Vulnerability Management, DLP, endpoint security).
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Strong understanding of enterprise security architecture and engineering principles.
Preferred Skills
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Hands-On CRIBL Data Modeling Experience
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Hands-on SIEM administration, analysis, and reporting experience.
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Experience building and deploying Linux-based security sensors.
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Familiarity with security frameworks and compliance standards such as NIST CSF, CJIS, IRS 1075, and CMS MARS-E.
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CISSP and/or Security+ Certificates
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