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Analytics Engineer, DataOne

extra parental leave
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

4+ years experience as Analytics Engineer, Strong proficiency in SQL and data visualization tools, Experience with data programming languages like Python, Familiarity with data technologies such as Airflow, Snowflake, Experience with business applications like Salesforce and GitLab.

Key responsabilities:

  • Develop high-impact, scalable data marts and products
  • Lead cross-functional product and technical initiatives
  • Drive innovation and adoption of emerging technologies
  • Champion best practices for data integrity and security
  • Provide subject matter expertise and foster continuous learning
HackerOne logo
HackerOne Cybersecurity SME https://hackerone.com/
201 - 500 Employees
HQ: San Francisco
See more HackerOne offers

Job description

HackerOne is the global leader in human-powered security, harnessing the creativity of the world’s largest community of security researchers with cutting-edge AI to protect your digital assets. The HackerOne Platform combines the expertise of our elite community and the most up-to-date vulnerability database to pinpoint critical security flaws across your attack surface. Our integrated solutions, including bug bounty, pentesting, code security audits, spot checks, and AI red teaming, ensure continuous vulnerability discovery and management throughout the software development lifecycle. Trusted by industry leaders such as Coinbase, General Motors, GitHub, Goldman Sachs, Hyatt, PayPal, and the U.S. Department of Defense, HackerOne was named a Best Workplace for Innovators by Fast Company in 2023 and a Most Loved Workplace for Young Professionals in 2024.

Analytics Engineer, DataOne

Based in United States

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. 

Preferred Qualifications 

  • 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.

#LI-Remote

#LI-SM1

We are a Circle Back Initiative Employer and commit to responding to every applicant.

We're committed to building a global team! For certain roles outside the United States, U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Employment at HackerOne is contingent on a background check.

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

HackerOne Values

HackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of hackers. We are driven by our five core values. We recognize that our mission is bigger than us, and therefore act with integrity at all times. As a team, we believe that transparency builds trust so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Cybersecurity
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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