Developer III - Data Engineer

. Security Data Engineering

• Design and implement scalable data ingestion frameworks to collect security data from diverse sources, including:
  • SIEM platforms
  • Endpoint Detection & Response (EDR) tools
  • Cloud environments (AWS, Azure, GCP)
  • Vulnerability management solutions
  • Governance, Risk, and Compliance (GRC) platforms
  • External and internal APIs
• Develop and maintain robust ETL/ELT pipelines to:
  • Transform raw security telemetry into structured, queryable datasets
  • Normalize and standardize data across heterogeneous sources
  • Support downstream analytics and reporting use cases
• Ensure high levels of data integrity and reliability through:
  • Data normalization and deduplication
  • Data enrichment (e.g., threat intelligence, asset context, CVSS scoring)
  • Data validation and quality assurance checks
• Optimize data pipelines for performance, scalability, and cost efficiency in cloud and hybrid environments.

2. Security Analytics & Dashboards

• Design, develop, and maintain interactive Tableau dashboards for:
  • Executive leadership (CISO, CIO, Risk Leaders)
  • Security Operations Center (SOC) teams
  • Engineering and remediation teams
• Define and implement security KPIs and metrics, including:
  • Enterprise risk scores
  • Vulnerability trends and exposure metrics
  • Remediation SLA adherence
  • Threat detection and response effectiveness
  • Attack surface visibility and reduction
• Continuously enhance dashboards to:
  • Improve usability and accessibility for stakeholders
  • Ensure real-time or near-real-time insights
  • Maintain performance and scalability

3. Reporting & Automation

• Design and implement automated reporting solutions to replace manual and spreadsheet-driven processes.
• Develop reusable reporting frameworks for:
  • Security posture reporting
  • Compliance reporting (internal and regulatory)
  • Risk and audit reporting
• Generate:
  • Scheduled (daily/weekly/monthly) reports
  • On-demand and ad-hoc analysis for stakeholders
• Integrate reporting workflows with enterprise systems to enable seamless data delivery and consumption.

4. Business Context Integration & CTEM Support

• Integrate security datasets with enterprise business systems such as:
  • ITSM / ticketing platforms (e.g., ServiceNow)
  • Configuration Management Database (CMDB)
  • Cloud asset inventories and business applications
• Provide contextualized insights by correlating:
  • Technical vulnerabilities with business ownership
  • Asset criticality with risk exposure
  • Security events with operational impact
• Support Continuous Threat Exposure Management (CTEM) initiatives by:
  • Mapping technical findings to business risk
  • Prioritizing remediation based on impact and exploitability
  • Enabling data-driven exposure reduction strategies
• Collaborate with cross-functional teams (SOC, Threat Intelligence, GRC, Engineering) to:
  • Translate operational data into actionable intelligence
  • Improve detection, response, and remediation workflows

Required Skills & Qualifications

• Strong experience in data engineering (ETL/ELT, data pipelines, data modeling)
• Proficiency in SQL, Python, or similar data processing languages
• Hands-on experience with SIEM platforms and security tools (EDR, vulnerability scanners, GRC tools)
• Experience with Tableau or similar BI/visualization tools
• Familiarity with cloud platforms (AWS, Azure, GCP) and data services
• Understanding of cybersecurity domains (SOC, threat detection, vulnerability management)
• Knowledge of data governance, quality, and security best practices

Deliverables - Security Data Engineer

The Security Data Engineer will be responsible for delivering the following:

• Security Analytics Dashboards:
  • Interactive Tableau dashboards tailored to executive and operational stakeholders
• Au