Skip to content

Analytics Engineer, DataOne

Salary

$120K - $150K

Location

United States - Remote

HackerOne's mission is to empower the world to build a safer internet. HackerOne is the global leader in human-powered security. We leverage human ingenuity to pinpoint the most critical security flaws across your attack surface to outmatch cybercriminals. HackerOne’s Attack Resistance Platform combines creative human intelligence with the latest artificial intelligence to help organizations reduce risk and transform their businesses with confidence.

Position Summary

HackerOne is seeking an Analytics Engineer to join our DataOne team. You will work on discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products. Joining our growing, distributed organization, you'll be instrumental in building the foundation that powers HackerOne's one source of truth.

As an Analytics Engineer, you'll have the autonomy to contribute to challenging projects and lean into collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel HackerOne forward.

DataOne’s Mission & Vision

DataOne democratizes source of truth information and insights to enable all Hackeronies to ask the right questions, tell cohesive stories and make rigorous decisions, so that HackerOne can delight our Customers and empower the world to build a safer internet.

The future is one where every Hackeronie is a catalyst for positive change, driving data-informed innovation while fostering our culture of transparency, collaboration, integrity, excellence, and respect for all.

What You Will Do

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 with consistent contribution to high-impact, high-performance, scalable source of truth data marts and data products.
  • Within 90 days, you will contribute to the continuous evolution and innovation of data at HackerOne. Additionally, you lean into cross-departmental collaboration to enhance these efforts.

Your journey doesn't stop here: your manager will work with you on your growth path toward the future of your career so you become the best version of yourself!

After 90 days, you will:

  • Deliver impact by consistently contributing to discovery, architecture, and development of high-impact, high-performance, scalable source of truth data marts and data products.
  • Lead and deliver cross-functional product and technical initiatives, while managing competing priorities, and adapting to shifting business objectives.
  • Drive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.
  • Champion a higher bar for discoverability, usability, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.
  • Provide subject matter expertise, fostering a culture of continuous learning and growth.

Minimum Qualifications

  • 4+ years experience as an Analytics Engineer, Business Intelligence Engineer, Data Engineer, or similar role w/ proven track record of launching source of truth data marts.
  • 4+ years of experience building and optimizing data pipelines, products, and solutions.
  • 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.
  • Work remotely based in the US. HackerOne is a digital first company. This model offers our employees flexibility in time and location. All employees must be able to work and excel in a remote environment.

Preferred Qualifications

  • Work remotely, based in US EST and CST time zones.
  • Strong proficiency in at least one data programming language such as Python or Scala.
  • Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.
  • Experience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.
  • Experience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.