
11 - 50 employees
📱 Media
📣 Marketing
đź’° $30M Series A on 2025-07
Media • Marketing
iCOUNTER is represented only by a website front-end code snippet (HTML/CSS) in the provided materials. The available content consists of layout and styling for navigation, buttons, hero sections, FAQ accordions, team cards, and other UI components — but contains no product, service, market, or business-model specifics. Because there is no substantive information about what iCOUNTER makes, sells, or serves, a precise industry classification cannot be determined from the input. Conservatively, the assets indicate a public-facing web presence with marketing-oriented site elements (hero, CTAs, FAQ, team), so the most defensible, minimal industry tags are Media and Marketing.
🔥 15 hours ago
🏄 California – Remote
đź’µ $140k - $180k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
đź‘» Ghost score 8%
Where this job comes from
Posted on iCOUNTER's careers page, not through a job board
First seen by Remote Rocketship 15 hours ago
Still open on iCOUNTER's site. Checked 3 hours ago.

11 - 50 employees
📱 Media
📣 Marketing
đź’° $30M Series A on 2025-07
Media • Marketing
iCOUNTER is represented only by a website front-end code snippet (HTML/CSS) in the provided materials. The available content consists of layout and styling for navigation, buttons, hero sections, FAQ accordions, team cards, and other UI components — but contains no product, service, market, or business-model specifics. Because there is no substantive information about what iCOUNTER makes, sells, or serves, a precise industry classification cannot be determined from the input. Conservatively, the assets indicate a public-facing web presence with marketing-oriented site elements (hero, CTAs, FAQ, team), so the most defensible, minimal industry tags are Media and Marketing.
• 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
• 5+ years of experience as a Software Engineer or Data Engineer, with a strong focus on large-scale data collection and processing • Deep experience collecting data at scale from open and dark web sources, including scraping, crawling, API integration, Tor-based collection, and anti-detection/anti-bot techniques • Strong expertise in building and operating data pipelines using Airflow, Dagster, Prefect, Spark, Kafka, Flink, or equivalent • Advanced data parsing skills for turning messy, unstructured web data into clean, structured intelligence • Expert-level Python proficiency, including async, concurrency, and performance optimization • Hands-on experience designing and implementing agentic workflows using LangChain, CrewAI, AutoGen, LlamaIndex, or similar frameworks, and integrating LLMs into production data systems • Track record of building and maintaining production APIs using FastAPI, Flask, or similar • Strong understanding of cybersecurity concepts and threat intelligence data types, including IOCs, TTPs, malware samples, phishing kits, and underground forums • Comfortable working in a fast-paced, ambiguous environment with high-stakes data quality requirements • Experience with cloud platforms • Knowledge of modern data stack tools such as dbt, Snowflake, ClickHouse, and DuckDB • Familiarity with containerization, Docker, Kubernetes, and infrastructure-as-code • Prior work in cybersecurity, threat intelligence, or intelligence collection organizations • Contributions to open-source tools or public research in the threat intelligence or data collection space • Completion of a Background Check is required for employment at iCOUNTER • Legally authorized to work in the United States
• Full Health, Dental, & Vision Coverage, with 100% employee premiums covered and 90% dependent premiums covered on base plans • 401(k), HSA, & FSA Plans • Flexible PTO • Meaningful equity ownership • Company Holidays & Paid Sick Days • Monthly home-office stipend for internet, equipment, or other technology needs
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