HUD - Data / Platform Engineer
Role summary
cFocus Software is seeking a remote Data / Platform Engineer for a role supporting the Housing and Urban Development (HUD) program. This position requires a Public Trust clearance and involves designing, building, and maintaining data platforms for SOC operations, including log aggregation, analytics, and security data pipelines. The engineer will optimize data ingestion for security telemetry, develop scalable data architectures in AWS GovCloud and hybrid environments, and support real-time and batch data processing. Key responsibilities include integrating data from various sources, ensuring data quality, implementing data lakes/warehouses, supporting SIEM/SOAR platforms, developing security monitoring dashboards, automating workflows, and maintaining documentation. Collaboration with SOC analysts is essential for threat detection and response.
cFocus Software seeks a Data / Platform 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, Information Systems, or related field.
- 7+ years of experience in data engineering, platform engineering, or cloud engineering roles.
- Experience with data pipeline tools (e.g., Kafka, Kinesis, Logstash, Fluentd).
- Experience with SIEM platforms (e.g., Splunk) and log aggregation systems
Duties:
- Design, build, and maintain data platforms supporting SOC operations, including log aggregation, analytics, and security data pipelines.
- Engineer and optimize data ingestion pipelines for security telemetry (SIEM, EDR, cloud logs, network logs).
- Develop and maintain scalable data architectures in AWS GovCloud and hybrid environments.
- Support real-time and batch data processing for security monitoring and analytics.
- Integrate data from multiple sources (cloud services, applications, endpoints, network devices, third-party platforms).
- Ensure data quality, integrity, availability, and performance across platforms.
- Implement centralized data lake or data warehouse solutions for security analytics.
- Support SIEM/SOAR platforms through data normalization, enrichment, and correlation.
- Develop dashboards, reporting solutions, and visualization tools for real-time security posture monitoring.
- Automate data workflows and platform operations using scripting and orchestration tools.
- Support compliance requirements by ensuring proper data retention, logging, and auditability.
- Collaborate with SOC analysts and engineers to enable threat detection and response capabilities.
- Optimize platform performance, scalability, and cost efficiency.
- Implement monitoring, alerting, and observability for data pipelines and platforms.
- Maintain documentation for data architecture, pipelines, and integrations.
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