Data Engineer, Data Collection

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November 5

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Recorded Future

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Cybersecurity • Artificial Intelligence • Enterprise

Recorded Future is a leading provider of threat intelligence solutions, helping organizations see and prioritize potential threats in real-time so they can act to prevent attacks. Trusted by governments and large enterprises, Recorded Future offers comprehensive, unbiased threat intelligence that is used to secure critical infrastructure worldwide. Using their Intelligence Graph and cloud platform, they deliver timely and actionable insights by analyzing and structuring threat data from across the internet. Their services are crucial in mitigating risks such as ransomware attacks, digital risks, and supply chain vulnerabilities. With a strong reputation recognized by industry analysts, they stand at the forefront of modern defense solutions by integrating AI into security workflows.

501 - 1000 employees

Founded 2010

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $25M Series E on 2017-10

📋 Description

• Deliver customer value by producing data and analytics that summarize information from the Dark Web and drive the alerting that our customers directly consume. • Lead, mentor, and develop a diverse team of six engineers focused on Dark Web data collection and analysis, fostering a culture of collaboration and continuous improvement. • Coordinate and oversee the development and maintenance of web harvesting and data processing applications and pipelines, ensuring they meet organizational and client needs. • Partner with the Product Manager, Dark Web to manage project timelines and deliverables in an often high-pressure context, maintaining focus on both short-term objectives and long-term strategic goals. • Collaborate closely with cross-functional teams, including cybersecurity researchers and other engineering units, to refine intelligence analytics and enhance product offerings. • Address and resolve elevated client escalations with a focus on maintaining relationships while delivering prompt and effective solutions. • A solid understanding of cybersecurity, along with an interest in analyzing dark web activities related to computer and network security.

🎯 Requirements

• Significant experience in engineering management or leadership roles, particularly within data engineering or analytics teams, demonstrating a track record of success in high-pressure environments. • Strong capability in managing and guiding remote or hybrid teams, utilizing effective communication and collaboration tools to maintain team cohesion and productivity. • Understanding of Python, relevant database technologies and fundamental programming and data engineering concepts • Exceptional organizational skills, capable of turning complex requirements into actionable project plans and fostering incremental delivery within a software development framework. • Excellent communication skills, adept at conveying complex technical concepts in a clear and concise manner through various channels including emails, Slack, and in-person discussions.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities