HUD SIEM Data Engineer

Washington, AR - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Job Summary

Bachelors 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.

Required Experience:

Senior IC

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:Bachelors degree in Computer Science Data Engineering Cybersecurity or related field.5 years of exp...

Bachelors 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.