Cybersecurity Data Engineer

We are seeking a Cybersecurity Data Engineer to build and maintain data pipelines, analytics infrastructure, and telemetry normalization processes that enable scalable detection, automation, and threat hunting across the enterprise.

Requirements

• Design, build, and maintain scalable security telemetry pipelines that ingest, normalize, enrich, and route data to SIEMs, data lakes, and analytics platforms
• Architect and manage high-performance storage and processing solutions for SIEM, SOAR, and security data lakes
• Assemble complex, cross-domain datasets that support threat detection, forensic analysis, posture reporting, and compliance
• Develop analytics tools and dashboards using Python, KQL, regex, and API integrations to expose anomalies and generate actionable insights
• Build AI/ML-ready data structures that support use cases such as anomaly detection, alert triage scoring, LLM-driven summarization, and enrichment engines
• Own end-to-end data flow: ingress, transformation, storage, alerting, and visualization
• Apply an automation-first mindset to eliminate manual ETL processes and optimize data pipeline performance
• Collaborate with detection engineers and threat hunters to fine-tune telemetry capture, build context-rich alerts, and close data visibility gaps
• Create and maintain dashboards and alerts in platforms such as SentinelOne, Cribl, and SaaS-native tools
• Maintain detailed technical documentation, including data dictionaries, schema designs, and pipeline runbooks

Benefits

• Comprehensive benefits package
• 401k Matching
• Retirement Plan