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Manager, Data Engineering

Remote / Online - Candidates ideally in
Austin, Travis County, Texas, 78701, USA
Listing for: HackerOne
Remote/Work from Home position
Listed on 2026-07-16
Job specializations:
  • IT/Tech
    Data Engineering, Data Science Manager, Data Analyst
Job Description & How to Apply Below

Manager, Data Engineering

Hacker One is seeking a Manager to lead Applied Data Engineering on our Data One team. You will lead the 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 Hacker One's one source of truth.

As a Manager of Applied Data Engineering, you'll have the autonomy to lead challenging projects and foster collaboration across the company. Leveraging your extensive technological expertise, domain knowledge, and dedication to business objectives, you'll drive innovation to propel Hacker One forward.

The Hacker One Enterprise Data & AI team democratizes source of truth information, transformative insights, and AI tooling and infrastructure to power enhanced decision-making, autonomous execution, and mission-aligned scale.

The future is one where every Hackeronie is a catalyst for positive change, advancing data-driven, AI-powered, human-led innovation while fostering our culture of transparency, collaboration, and customer obsession.

At Hacker One, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Boston, Austin, or Washington DC. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.

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 Hacker One. 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 Hacker One, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.

After 90 days, you will:

  • 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.
Minimum Qualifications
  • 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.
  • Proven track record of having substantial impact across the company, as well as externally for the company, demonstrating…
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