iCOUNTER

Data Engineer

• Design and scale high-volume data collection systems ingesting threat data from open-web, deep-web, and dark-web sources, including Tor, I2P, and other anonymity networks
• Build and maintain robust, fault-tolerant batch and streaming data pipelines for ingestion, transformation, enrichment, and storage
• Develop advanced parsing and normalization logic for unstructured, semi-structured, and rapidly evolving threat data formats
• Design, build, and maintain agentic workflows using autonomous, LLM-powered agents for multi-step collection and enrichment tasks
• Architect and operate high-scale media pipelines for ingesting, processing, storing, and enriching images, videos, screenshots, documents, and other media
• Design and build internal and external APIs exposing collected intelligence to downstream security teams and platforms
• Write clean, production-grade Python code for data engineering and automation
• Collaborate with threat intelligence analysts, detection engineers, and security researchers to translate intelligence requirements into reliable, scalable data systems
• Monitor, troubleshoot, and continuously optimize collection performance, data quality, and latency at scale
• Stay current with emerging threat actor TTPs, data sources, and evasion techniques to improve collection coverage

Explore Senior Collections Data Engineer at iCOUNTER. Review requirements and application details.

Open roles

Senior Collections Data Engineer