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Data Engineer IV - job 1 of 2

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.

Data Engineer IV

Remote Locations: Washington, DC or Austin, TX

About HackerOne

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.

 

Position Summary 

HackerOne is seeking a Data Engineer IV, DataOne, to lead the discovery, architecture, and development of high-performance, scalable data products and solutions. Joining HackerOne’s growing, distributed organization, you'll be instrumental in building the foundation that powers our lakehouse architecture and scales our cutting-edge AI.

As a Data Engineer IV, 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.

At HackerOne, we embrace a Flexible Work approach, enabling our team members to work remotely while maintaining productivity and collaboration. We are seeking candidates located in Washington, DC or Austin, TX, and the surrounding metropolitan areas, to facilitate occasional in-person interactions as needed. While the position is primarily remote, there will be periodic in-person requirements to support team collaboration and foster stronger connections. This approach ensures flexibility while providing opportunities to build meaningful in-person relationships that strengthen our team and company culture.

Your Journey at HackerOne

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 Cloud, AWS), and meet our Hackeronies.

  • Within 60 days, you will deliver impact on a department level with consistent contribution of high-quality, high-impact code. 

  • 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 high-quality, high-impact code, and by leading and delivering cross-functional product and technical initiatives.

  • Contribute to highly complex design processes, balance competing priorities, and adapt to shifting business objectives.

  • Support continuous evolution and innovation within the DataOne codebase and engineering processes.

  • 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.

  • Offer subject matter expertise while helping to build a culture of continuous learning and growth.

Minimum Qualifications

  • 5+ years experience as a Software Engineer, Data Engineer, or similar role w/ proven track record of developing data frameworks (preferably using Python).

  • 5+ years of building and optimizing data pipelines, products, and solutions.

  • Strong proficiency in SQL for data manipulation in a fast-paced work environment.

  • Strong proficiency in working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker.

  • Strong programming skills, knowledge of algorithms, and data structures.

  • Must be based remotely in Washington DC or Austin, Tx metropolitan areas.

Compensation Range:

160k - 180k

#LI-Remote

#LI-SM1

Job 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

  • Flexible Work Stipend

*Eligibility may differ by country

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.

HackerOne Glassdoor Company Review
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HackerOne DE&I Review
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CEO of HackerOne
HackerOne CEO photo
Marten Mickos
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Average salary estimate

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What You Should Know About Data Engineer IV, HackerOne

As a Data Engineer IV at HackerOne, based in the vibrant city of Austin, you will play a crucial role in our mission to enhance human-powered security. This position invites you to lead the discovery, architecture, and development of high-performance data products and solutions that will directly impact our lakehouse architecture and advanced AI capabilities. Engaging with our talented team, you will work on ambitious projects that challenge your skills and expand your knowledge. Imagine being at the forefront of innovation where your ideas and expertise help shape the world of cybersecurity. At HackerOne, we prioritize collaboration and transparency, so not only will you enjoy remote work flexibility, but you'll also have opportunities for essential in-person interactions with your team. In your first month, you’ll dive into our technology stack that includes tools like Python, Airflow, and Snowflake, positioning yourself to drive significant contributions in the following months. Our commitment to your growth doesn’t stop there; we’ll support your journey as you elevate the data standards within HackerOne. Join us to empower our community and fulfill our vision of creating a safer internet, while also enjoying an outstanding workplace culture recognized by Fast Company and others. If you have a passion for data, innovation, and collaboration, this is the opportunity for you!

Frequently Asked Questions (FAQs) for Data Engineer IV Role at HackerOne
What are the key responsibilities of the Data Engineer IV at HackerOne?

As a Data Engineer IV at HackerOne, your primary responsibilities will include leading the discovery and development of scalable data solutions and architecture. You will work on building high-performance data products and contribute to enhancing the lakehouse architecture that powers our AI capabilities.

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What qualifications are required for the Data Engineer IV position at HackerOne?

Candidates applying for the Data Engineer IV position at HackerOne should have at least 5 years of experience in software or data engineering, with a proven track record in developing data frameworks and optimizing data pipelines. Proficiency in SQL, Python, and data technologies like Airflow, Snowflake, and AWS is essential.

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What is the work culture like for the Data Engineer IV at HackerOne?

At HackerOne, the work culture fosters collaboration and transparency, supporting a flexible work environment that allows remote work while encouraging in-person team interactions. The organization values inclusivity, integrity, and excellence, ensuring that every team member feels empowered and valued.

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How does HackerOne support professional growth for Data Engineer IV employees?

HackerOne is committed to the professional development of its employees, including those in the Data Engineer IV role. You will have structured onboarding, ongoing support from your manager, and opportunities to contribute to impactful projects while working towards your personal and career growth.

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What tools and technologies will a Data Engineer IV work with at HackerOne?

As a Data Engineer IV at HackerOne, you will work with a variety of advanced tools and technologies including Python, Airflow, Snowflake, DBT, Meltano, Fivetran, Looker, and AWS, enabling you to create and manage data solutions efficiently.

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Common Interview Questions for Data Engineer IV
What are the primary skills a Data Engineer IV should possess?

A successful Data Engineer IV should have strong proficiency in Python and SQL, experience with data pipeline technologies like Airflow and Snowflake, and the ability to understand complex data structures and algorithms. Additionally, problem-solving skills and knowledge of data governance practices are essential.

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Can you describe your experience with big data technologies in previous projects?

When answering this question, highlight specific projects where you utilized big data technologies, such as Hadoop or Spark. Discuss your role in implementing data pipelines or analytics solutions and the outcomes achieved through those projects.

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How do you prioritize tasks when working on multiple data projects?

In managing multiple projects, I prioritize by assessing project deadlines, the impact of each task on business objectives, and available resources. Utilizing project management tools, I keep track of deadlines and ensure timely communication with team members to adjust priorities if needed.

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What challenges have you faced in data engineering, and how did you overcome them?

Discuss specific challenges like optimizing data pipelines or ensuring data quality. Explain the steps you took to analyze the issues, implement solutions, and the results of your actions. This shows your problem-solving abilities and adaptability.

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How do you ensure data quality and integrity in your work?

To ensure data quality, I implement validation checks at every stage of the data pipeline, conduct regular audits, and utilize monitoring tools to track data consistency. Communication with stakeholders is also key to ensure that data meets their requirements.

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What is your experience with cloud platforms in data engineering?

Share your hands-on experience with cloud platforms such as AWS or Azure, focusing on the specific services you've used, like S3 for storage or Lambda for serverless computing. Describe how these tools contributed to the projects you've worked on.

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How do you keep up-to-date with the latest trends in data engineering?

I stay updated by following industry blogs, attending webinars, and participating in relevant online courses. I also engage with the data engineering community through forums and networking events to exchange insights and learn about new technologies.

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Can you explain your experience with ETL processes?

Discuss your experience designing and implementing ETL (Extract, Transform, Load) processes in your previous roles. Highlight the tools you've used, such as Talend or Apache Nifi, and how you've optimized those processes for efficiency.

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How do you approach cross-department collaboration in projects?

I believe in fostering open communication and regular check-ins with cross-department teams. I use collaboration tools to ensure that everyone is aligned on project goals and timelines, and I encourage feedback throughout the project lifecycle to enhance outcomes.

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What is your experience in architecting data solutions?

Discuss experiences where you architected data solutions, detailing the approach you took to line up with business goals, the technologies used in the architecture, and how you ensured scalability and performance of the data solutions.

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HackerOne is leading a cybersecurity platform that connects businesses with penetration testers and cybersecurity researchers. HackerOne's customers include The U.S. Department of Defense, Google, GitHub, Microsoft, Nintendo and more.

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Full-time, remote
DATE POSTED
March 21, 2025

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