Cyber Risk Data Engineer/Analyst — Proactive Risk Insights

Technomics, Inc.; Arlington (VA); Hybrid; USD 70,000 - 115,000; Full time

Job summary

Technomics, Inc. is seeking a Cyber Risk Data Engineer/Analyst to focus on the data side of cyber risk management. You will capture outputs from SMEs, tag and structure data, and build data-driven capabilities for proactive risk identification.

The role involves connecting outputs to external threat databases, developing knowledge bases for trend analysis, and learning from senior SMEs while building skills in data analysis, visualization, and cyber risk management.

Qualifications

• 1–3 years of experience in cybersecurity, data analysis, or IT risk management.
• Familiarity with NIST SP 800-30, RMF, or MITRE ATT&CK (coursework, internships, or entry-level experience acceptable).
• Experience with data analysis, organization, and visualization (Excel, Power BI, Tableau, or similar).
• Ability to work with structured and unstructured data, including tagging, metadata, and relational mapping.
• Strong written and verbal communication skills to document findings and support SME deliverables.

Responsibilities

• Collect, organize, and structure cyber risk assessment outputs into usable datasets and knowledge repositories.
• Implement data tagging, metadata standards, and knowledge capture practices for traceability and reuse.
• Connect assessment data with external threat and vulnerability databases to enrich analysis.
• Develop and maintain structured datasets, dashboards, or knowledge tools for trend analysis and predictive insights.
• Help shift risk management from reactive reporting to proactive detection and trend anticipation.

Skills

Data analysis

Cybersecurity basics

Communication

Data visualization

Education

Security+ certification

Tools

Excel

Power BI

Tableau

Python

SQL

Job description

Technomics, Inc. is seeking a Cyber Risk Data Engineer/Analyst to focus on the data side of cyber risk management. You will capture outputs from SMEs, tag and structure data, and build data-driven capabilities for proactive risk identification.

The role involves connecting outputs to external threat databases, developing knowledge bases for trend analysis, and learning from senior SMEs while building skills in data analysis, visualization, and cyber risk management.