Washington DC; Austin; Boston Remote (City) Full-time USD 170,000 – 205,000 / year

HackerOne is hiring a Manager, Data Engineering

Responsibilities

  • Develop and execute a strategic roadmap for delivering high-performance, scalable data marts and data products that serve as trusted sources of truth.
  • Act as a technical leader and cross-functional enabler, independently prioritizing efforts, contributing across technical layers, uplifting team performance, and solving unclear business problems in a dynamic environment.
  • Advance data engineering practices by driving innovation, integrating new technologies, and applying industry-leading standards.
  • Promote excellence in data quality by advocating for improved discoverability, usability, reliability, timeliness, consistency, validity, simplicity, completeness, integrity, security, and regulatory compliance.
  • Offer technical guidance and mentorship to cultivate a team culture centered on continuous development and learning.

Benefits

  • Comprehensive health coverage including medical, vision, and dental insurance, along with life and disability protection
  • Equity stock options
  • Retirement savings plans
  • Paid public holidays and unlimited paid time off
  • Paid leave for maternity and parenting responsibilities
  • Various leaves of absence, including caregiver leave and compliance with Colorado's Healthy Families and Workplaces Act
  • Access to an Employee Assistance Program for personal support

Compensation

Equity stock options

Other

  • Eligibility for benefits and employment terms may vary by country.
  • Sponsorship for visas or work permits is not offered.
  • Employment is subject to passing a background check.

Not available

About company
HackerOne
HackerOne is a global leader in offensive security solutions. The HackerOne Platform combines AI with the largest community of security researchers to find and fix security, privacy, and AI vulnerabilities across the software development lifecycle. The platform offers bug bounty, vulnerability disclosure, pentesting, AI red teaming, and code security.
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Job Details
Department Enterprise Data & AI
Category Data & ML
Posted 2 days ago