Engineering Manager, Data Engineering
TRM LabsFull Time
Expert & Leadership (9+ years)
Candidates should have significant experience in engineering management or leadership roles, particularly within data engineering or analytics teams, with a proven track record in high-pressure environments. Strong capabilities in managing remote or hybrid teams using effective communication and collaboration tools are essential. A solid understanding of cybersecurity, Python, relevant database technologies, and fundamental programming and data engineering concepts is required. Exceptional organizational skills to translate complex requirements into actionable project plans and foster incremental delivery within a software development framework are necessary. Excellent communication skills for conveying technical concepts clearly are also vital.
The Manager, Data Engineering (Data Collection) will lead, mentor, and develop a team of six engineers focused on Dark Web data collection and analysis. They will coordinate and oversee the development and maintenance of web harvesting and data processing applications and pipelines. This role involves partnering with the Product Manager to manage project timelines and deliverables, collaborating with cross-functional teams to refine intelligence analytics, and addressing client escalations. The primary goal is to deliver customer value by producing data and analytics that summarize information from the Dark Web and drive alerting.
Provides machine-readable threat intelligence solutions
Recorded Future provides threat intelligence in the cybersecurity industry by gathering and analyzing information about potential threats to organizations. Their intelligence is delivered in a machine-readable format, making it easy for clients like threat analysts and security teams to integrate with their existing systems. Unlike competitors, Recorded Future focuses on partnerships with Value Added Resellers (VARs) to enhance their offerings and provide comprehensive support. The company's goal is to help organizations lower the risk of cyber attacks through effective threat intelligence.