Threat-Detection Data Engineer — Remote + Equity

detections-ai; California (MO); Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Remote-first equity

Equity

Remote-first culture

Job summary

detections.ai is seeking a data engineer who can architect the intelligence infrastructure that turns raw security telemetry into actionable insights. You’ll own backend services end-to-end, from design to production deployment, and build high-throughput pipelines that clean and enrich data for threat detection.

Join a remote-first team that collaborates with frontend, AI, and detection engineers to shape core architecture, APIs, and integrations with SIEMs and security platforms, delivering

Qualifications

• 5+ years building and scaling backend systems that handle real-world complexity.
• Fluent in Python (FastAPI preferred) and cloud-native development on AWS or GCP.
• Design data models and transformation logic for complex, real-time workflows.
• Build with resilience, security, and performance as first principles.
• Thrive in a high-context, low-process environment where speed and ownership matter.

Responsibilities

• Backend services end-to-end – from first design sketch to production deployment.
• High-throughput data pipelines that transform messy security telemetry into clean, enriched streams.
• Integrations with SIEMs, EDRs, and security platforms that make our product the connective tissue of the modern security stack.
• Cross-team collaboration with frontend, AI, and detection engineers to ensure data becomes truly actionable.
• Core architecture and APIs that other engineers (and customers) will build on every day.

Job description

detections.ai is seeking a data engineer who can architect the intelligence infrastructure that turns raw security telemetry into actionable insights. You’ll own backend services end-to-end, from design to production deployment, and build high-throughput pipelines that clean and enrich data for threat detection.

Join a remote-first team that collaborates with frontend, AI, and detection engineers to shape core architecture, APIs, and integrations with SIEMs and security platforms, delivering