HUD - Data / Platform Engineer in Washington, District of Columbia at cFocus Software Incorporated

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.