TL;DR

Manager Data Engineering (Data Collection): Lead and coordinate a team developing data collection and analytics pipelines focused on Dark Web intelligence, transforming raw underground data into actionable security insights. With an accent on managing remote teams, data pipeline reliability, and cybersecurity analytics. Focus on delivering high-fidelity intelligence, mentoring engineers, and collaborating cross-functionally in a high-pressure environment.

Location: Remote - US only

Salary: $152,000–$228,000

Company

%hirify_global% is the world’s most advanced intelligence company specializing in cybersecurity data collection and analytics from diverse sources including the Dark Web.

What you will do

Lead and mentor a diverse team of six engineers focused on Dark Web data collection and analysis.
Deliver customer value by producing data and analytics that summarize Dark Web information driving client alerting.
Coordinate development and maintenance of web harvesting and data processing pipelines.
Manage project timelines and deliverables in collaboration with product management.
Collaborate with cybersecurity researchers and engineering teams to enhance intelligence analytics.
Address client escalations promptly while maintaining strong relationships.

Requirements

Must have 3+ years engineering management experience in data engineering or analytics teams.
Experience managing remote or hybrid teams with effective communication tools.
Proficiency in Python, database technologies, and fundamental data engineering concepts.
Strong organizational skills to translate complex requirements into actionable plans.
Excellent communication skills for conveying technical concepts clearly.
Location: Must be based in the US for remote work.

Culture & Benefits

Diverse and inclusive environment with employees from over 40 nationalities.
Competitive salary with incentive compensation, equity, and comprehensive benefits including medical, dental, vision, life insurance, and 401K.
High standards and ethical values embedded in company culture.
Opportunity to work on impactful cybersecurity intelligence products.

Hiring process

Mandatory in-person interview or live video conference with the hiring manager for final-round candidates.
No interviews via instant messaging or text; all communications come from official %hirify_global% HR email addresses.