Pillar Lead: Data and Analytics Engineer (R-00208)

This role bridges security engineering and day to day operations by supporting implementation of security capabilities, evaluating technical solutions, maintaining cybersecurity tools, and helping operational teams translate security architecture into effective, repeatable practices. The Cybersecurity Engineer works closely with vulnerability management, incident response, RMF, and ISSO teams to ensure engineering activities directly support operational risk reduction and continuous improvement.

Position Responsibilities
Design and maintain a common data model for Zero Trust maturity, implementation evidence, dependencies, risks, and outcome measures. Aggregate and validate authoritative enterprise data used for monthly delta assessments and quarterly reporting. Develop analytics that measure capability maturity, implementation progress, interoperability, organizational readiness, and investment priorities. Support capability-weighted prioritization models and enterprise gap analyses. Partner with Dashboard and Automation specialists to streamline recurring data refresh and visualization workflows. Establish data quality, lineage, traceability, and documentation practices for assessment conclusions and executive reporting.

Job Qualifications
Bachelor’s degree in Data Science, Analytics, Computer Science, Information Systems, Cybersecurity, or a related field. Five or more years of data engineering, analytics, cybersecurity metrics, or enterprise reporting experience. Experience integrating structured and semi-structured enterprise data from multiple authoritative sources. Experience developing repeatable metrics, analytical models, and quality controls. Strong SQL, scripting, data visualization, and technical communication skills. Preferred Qualifications: Experience with Power BI, Tableau, Splunk, data lakes, or enterprise analytics platforms. Experience supporting cybersecurity maturity assessments or Federal reporting. Familiarity with CISA Zero Trust Maturity Model metrics and evidence concepts. Preferred Certifications: One or more of the following is preferred: Microsoft Power BI Data Analyst Azure Data Engineer AWS Data Engineer Security+