Data Modeling Engineer

DPP•Columbia, SC

23h•Remote

About The Position

DPP is seeking a Data Modeling Engineer for an opportunity with our client in Columbia, SC. This position will serve as a Data Modeling Security Engineer focused on Cribl ingestion within a Division of Information Security. The successful candidate will show extensive experience successfully designing, implementing and maintaining data modeling using Cribl for log ingestion in large scale security environments. You 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. Your work will be primarily focused on data modeling Cribl pipelines while providing hands-on technical support across multiple security disciplines, including but not limited to SIEM, XDR, Vulnerability Management, Data Loss Prevention (DLP), Security Awareness, endpoint, Linux sensor deployment, and security automation initiatives. This role requires experience in data modeling, information security architecture and solution design to support the strategic planning, design, implementation and continuous improvement of secure systems and services.

Requirements

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.
Bachelor's degree in an Information Technology or Information Security related field; OR 8 years of relevant work experience may be substituted in lieu of education.
5 years of experience in supporting large IT environments and/or system deployments.

Nice To Haves

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.
CISSP and/or Security+ Certificates.

Responsibilities

Assist in the planning, design, deployment and operational support of enterprise security platforms, including: Cribl data modeling and log pipeline ingestion, Security Information and Event Management (SIEM)
Assist with design and configuration of Linux based security sensors and endpoint monitoring tools
Assist in the planning, design, deployment and operational support of enterprise security platforms, including: Extended Detection and Response (XDR), Vulnerability Management platforms and processes, Data Loss Prevention (DLP) solutions, Security Awareness and training platforms
Collaborate with security architects to design and implement enterprise security solutions that align with Leadership’s business goals, regulatory requirements and organizational risk tolerance.
Design, deploy and manage countermeasures to address known security threats and contribute to mitigation strategies for emerging threats to enterprise data, systems and services.
Ensure consistent application of security controls across enterprise infrastructure and applications; validate control effectiveness and recommend improvements.
Support incident detection and response activities through monitoring, log analysis and reporting.
Develop technical documentation, implementation guides and standard operating procedures as needed.
Perform other duties as assigned in support of the client.