Analytics Engineer, DataOne – United States – Remote

At HackerOne, we are on a mission to empower the world to build a safer internet. As the global leader in human-powered security, we leverage the creativity of our world-class community of security researchers, along with cutting-edge AI, to protect digital assets from cyber threats. HackerOne’s platform combines human ingenuity with the latest in vulnerability data to identify critical flaws across your organization’s attack surface. Our suite of solutions—including bug bounties, penetration testing, code security audits, AI-powered red teaming, and more—ensure continuous vulnerability discovery and risk management throughout the software development lifecycle.

Trusted by industry leaders like Coinbase, GitHub, PayPal, General Motors, 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.

Position Overview:

HackerOne is looking for an Analytics Engineer to join the DataOne team, where you will help create and scale high-performance data solutions that will serve as the foundation for the company’s data-driven insights. You will play a crucial role in shaping our data architecture and contribute to building impactful, reliable, and scalable data marts and data products. In this role, you’ll work closely with cross-functional teams to enhance our ability to make data-informed decisions and ensure that we continue to innovate in line with HackerOne’s mission.

DataOne’s Mission & Vision:

DataOne aims to democratize access to critical information, empowering HackerOne employees (known as Hackeronies) to ask insightful questions, tell data-driven stories, and make informed decisions. Our vision is to build a future where every Hackeronie contributes to positive change through data-driven innovation, while upholding a culture of transparency, collaboration, and respect.

What You’ll Do:

• Onboarding & Initial Impact (0-30 Days):
  Begin with a warm welcome and comprehensive technical onboarding. Familiarize yourself with HackerOne’s technology stack, which includes Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, and AWS. Get to know the team and start understanding the business and technical needs.
• First 60 Days:
  Contribute to the development of high-impact, scalable data marts and data products, with a focus on optimizing our data architecture for performance and reliability.
• First 90 Days:
  Drive innovation in data practices, collaborate across departments, and help shape the future of HackerOne’s data ecosystem. Participate in ongoing improvements to enhance the discoverability, usability, and integrity of data across the company.
• After 90 Days:
  Lead and contribute to technical and product initiatives, driving cross-functional collaboration while managing competing priorities. Champion emerging technologies, best practices, and data quality standards. Help foster a culture of continuous learning and growth across the organization.

Key Responsibilities:

• Lead the discovery, architecture, and development of scalable, high-performance data marts and products that will serve as the source of truth for data at HackerOne.
• Work closely with product, engineering, and business teams to identify and prioritize data needs.
• Improve the discoverability, consistency, usability, and security of data across the company.
• Drive continuous innovation in data technology and industry best practices.
• Mentor and share expertise with colleagues to foster a culture of learning and collaboration.
• Manage and deliver cross-functional projects, balancing competing priorities and business objectives.

Minimum Qualifications:

• 4+ years of experience as an Analytics Engineer, Data Engineer, or in a similar data-focused role, with a proven track record of developing and launching source-of-truth data solutions.
• Extensive experience building and optimizing data pipelines, products, and solutions.
• Strong SQL proficiency, with the ability to manipulate and analyze data in a fast-paced, dynamic environment.
• Expertise in data visualization, with experience using tools like Looker, Tableau, Power BI, or similar platforms to tell compelling data-driven stories.

Preferred Qualifications:

• Familiarity with US EST and CST time zones.
• Proficiency in a data programming language such as Python or Scala.
• Experience with modern data tools and technologies, including Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.
• Experience working with data from business applications such as Salesforce, Clari, Workday, GitLab, and Slack.
• Familiarity with designing advanced data visualizations and interfaces, with experience using design tools like Figma or equivalents.

HackerOne’s Commitment to Inclusion & Equal Opportunity:

At HackerOne, we are committed to building a diverse, inclusive, and innovative workforce. We welcome applicants from all backgrounds and experiences, and we do not discriminate based on race, gender, sexual orientation, disability, or any other protected characteristic. Our hiring decisions are based on qualifications, merit, and business needs.

How We Work:

At HackerOne, we operate in a collaborative, transparent, and supportive environment. Our core values—integrity, transparency, excellence, respect, and teamwork—guide everything we do. We believe in empowering each other to learn, grow, and create lasting impact together.

Application Process:

We are committed to responding to every applicant. For US-based roles, HackerOne follows the San Francisco Fair Chance Ordinance, meaning we consider applicants with arrest or conviction records.

HackerOne partners with Remote.com as our Employer of Record (EOR) for certain roles outside of the US, UK, and Netherlands.

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