HUD - SIEM / Data Engineer

Remote
Full Time
HUD - SOC
Experienced
cFocus Software seeks a SIEM / Data Engineer to join our program supporting Housing and Urban Development (HUD). This position is remote. This position requires a Public Trust clearance.
Qualifications:
  • Bachelor’s degree in Computer Science, Data Engineering, Cybersecurity, or related field.
  • 5+ years of experience in SIEM engineering, data engineering, or security analytics.
  • Hands-on experience with SIEM platforms (e.g., Splunk, Elastic, QRadar).
  • Strong experience building data pipelines using tools such as Python, SQL, or ETL frameworks.
Duties:
  • Design, develop, and maintain SIEM data pipelines for ingestion, parsing, normalization, and enrichment of security logs.
  • Implement and optimize log aggregation and data collection from on-premise, cloud (AWS GovCloud), and SaaS environments.
  • Configure and maintain SIEM platforms (e.g., Splunk) including data onboarding, indexing strategies, and performance tuning.
  • Develop and maintain correlation rules, dashboards, alerts, and detection use cases to support SOC operations.
  • Ensure data quality, integrity, and availability across security telemetry sources.
  • Integrate multiple data sources including network logs, endpoint data, cloud logs, application logs, and threat intelligence feeds.
  • Support real-time and batch data processing to enable threat detection, incident response, and analytics.
  • Collaborate with SOC analysts, threat intelligence, and incident response teams to improve detection capabilities.
  • Automate data ingestion, transformation, and enrichment processes using scripting and data engineering tools.
  • Perform data mapping and normalization aligned with common schemas (e.g., CIM, ECS).
  • Optimize SIEM storage, retention, and query performance for large-scale data environments.
  • Support integration with SOAR platforms for automated response and orchestration.
  • Conduct troubleshooting and root cause analysis of data pipeline issues and ingestion failures.
  • Maintain documentation for data architecture, pipelines, and configurations.
  • Support compliance reporting, audit requirements, and data governance aligned with federal standards.


 
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