SR. DATA ENGINEER THREAT MANAGEMENT DATA & ANALYTICS (HYBRID-CHARLOTTE, NC)

Compass Group•Charlotte, NC

22h•Hybrid

About The Position

The Sr. Data Engineer Threat Management Data and Analytics brings a data-driven and intelligence-focused approach to Corporate Security by developing, engineering, and analyzing systems that support threat detection, risk mitigation, and facility protection strategies across the organization. This role combines data engineering, analytics, and security intelligence to enhance situational awareness, incident reporting, threat monitoring, and predictive risk modeling. The position will design and optimize backend data structures, dashboards, threat reporting tools, and system integrations that improve the organization’s ability to identify, assess, and respond to physical security threats across corporate and field locations. The ideal candidate is highly analytical, technically skilled, and capable of transforming complex security-related data into actionable insights for executive and operational decision-making.

Requirements

Bachelor’s degree in Computer Science, Data Science, Information Technology, Criminal Justice, Security Management, or related field.
Strong SQL and relational database expertise (MySQL, PostgreSQL, Oracle, etc.).
Experience with data warehousing solutions (Snowflake, Redshift, BigQuery).
Experience with Power BI, Tableau, or Microsoft BI tools.
Proficiency in data modeling techniques and predictive analytics.
Proven ability to analyze and interpret complex datasets and present findings clearly.
Strong understanding of risk assessment frameworks and threat evaluation methodologies.
Ability to work cross-functionally with Security, HR, Legal, and IT partners.
Highly organized, detail-oriented, and capable of managing multiple projects.
Strong communication and executive presentation skills.

Nice To Haves

Advanced degree or security certification (CPP, PSP, PCI, etc.) preferred.
Knowledge of big data technologies (Spark, Hadoop) preferred.
Experience with CSS, HTML, and system interface customization preferred.
Experience integrating APIs and external data feeds.
Familiarity with physical security systems data (access control, CCTV, badge systems) is a strong plus.

Responsibilities

Design, build, and maintain secure data pipelines and infrastructure supporting threat management and facility security programs.
Integrate data from multiple sources (incident reporting systems, access control, video surveillance systems, HR data, risk systems, third-party threat intelligence feeds).
Develop structured data models to standardize threat reporting and trend analysis.
Optimize and enhance Corporate Security dashboards and reporting platforms (Power BI, SQL, enterprise BI tools).
Support system configuration and user interface enhancements within Risk Management or Incident Management systems (e.g., Origami Risk or similar platforms).
Research, hypothesize, and develop analytical models to identify patterns in security incidents, workplace violence indicators, facility breaches, and emerging risks.
Develop predictive analytics and forecasting models to proactively identify high-risk locations or behaviors.
Analyze trends related to physical security, insider threats, workplace violence, vandalism, and external threat indicators.
Translate complex data into executive-level visualizations and actionable insights.
Develop, maintain, and automate threat management KPIs and scorecards.
Assist in monthly and quarterly operational reporting highlighting Corporate Security performance metrics.
Standardize incident taxonomy and classification to improve data consistency.
Validate data integrity and ensure accuracy across reporting systems.
Evaluate existing threat reporting processes and identify opportunities for automation and efficiency.
Partner with Security, HR, Legal, Operations, and IT to improve cross-functional data flow.
Support governance initiatives by strengthening data controls and auditability of security systems.
Build business cases using data to support changes in security policies, investments, and facility protection strategies.
Stay current on emerging technologies in physical security analytics, AI-based threat detection, and risk modeling.
Recommend enhancements to improve proactive threat detection capabilities.
Support crisis response data needs during major security events.