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HackerOne
Manager, Data EngineeringHackerOne • Remote, District of Columbia, United States
No longer accepting applications
Manager, Data Engineering

Manager, Data Engineering

HackerOne • Remote, District of Columbia, United States
13 days ago
Job type
  • Full-time
  • Remote
Job description

Job Description:

  • Your first 30 days will focus on getting to know HackerOne. You will join your new squad and begin onboarding - learn our technology stack (Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, AWS), and meet our Hackeronies.
  • Within 60 days, you will deliver impact on a company level with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.
  • Within 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.
  • Deliver impact by developing the roadmap for continuously and iteratively launching high-impact, high-performance, scalable source of truth data marts and data products, and by leading and delivering cross-functional product and technical initiatives.
  • Be a technical paragon and cross-functional force multiplier, autonomously determining where to apply focus, contributing at all levels, elevating your squad, and designing solutions to ambiguous business challenges, in a fast-paced early-stage environment.
  • Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.
  • Champion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.
  • Provide technical leadership and mentorship, fostering a culture of continuous learning and growth.

Requirements:

  • 8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role w/ proven track record of launching source of truth data marts, and at least 3+ years in a leadership role.
  • 8+ years of experience building and optimizing data pipelines, products, and solutions.
  • Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.
  • Strong proficiency in SQL for data manipulation in a fast-paced work environment.
  • Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI.

Benefits:

  • Health (medical, vision, dental), life, and disability insurance
  • Equity stock options
  • Retirement plans
  • Paid public holidays and unlimited PTO
  • Paid maternity and parental leave
  • Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
  • Employee Assistance Program
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Manager, Data Engineering • Remote, District of Columbia, United States

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