Manager, Data Engineering

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HackerOne

201 - 500 employees

Founded 2012

🔐 Security

🔒 Cybersecurity

💰 $49M Series E on 2022-01

Security • Cybersecurity

HackerOne is a platform that connects businesses with ethical hackers to identify and fix security vulnerabilities. It offers services like bug bounty programs, pentest as a service, continuous security testing, vulnerability disclosure programs, AI safety and security testing, and application and cloud security. HackerOne engages a global community of ethical hackers who help businesses secure their digital assets by finding and addressing vulnerabilities. By leveraging both human and AI resources, HackerOne aims to outmatch cybercriminals and enhance security for various sectors, including automotive, financial services, government, healthcare, and retail. The company also provides educational resources, such as Hacker101, to train and develop the skills of people interested in cybersecurity.

📋 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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