Manager, Data Engineering

Role Overview

• Your first day will start with a warm welcome and technical onboarding!
• 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.
• After 90 days, you will 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.
• Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results.

Tech Stack

• Airflow
• AWS
• Python
• SQL
• Tableau

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