Position Details
About this role
Remote HUD program role focusing on building and maintaining SIEM data pipelines and analytics to support SOC operations. Requires federal clearance readiness and strong data engineering skills.
Key Responsibilities
- Design, develop, and maintain SIEM data pipelines for ingestion, parsing, normalization, and enrichment of security logs
- Implement and optimize log aggregation 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
- Ensure data quality, integrity, and availability; collaborate with SOC teams
Technical Overview
Stack includes SIEM platforms (Splunk, Elastic, QRadar), data pipelines (Python, SQL, ETL), CIM/ECS mappings, and cloud/on-premise log aggregation including AWS GovCloud and SaaS sources; emphasis on scalability and governance.
Ideal Candidate
The ideal candidate is a senior SIEM/data engineer with 5+ years of experience in security analytics and data pipelines, proficient with Splunk, Elastic, and QRadar. They should have strong Python/SQL/ETL skills, experience supporting HUD/government SOC operations, and familiarity with federal data schemas (CIM/ECS) and data governance.
Must-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Public Trust clearance required, Bachelor's degree required
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