{"schemaVersion":"jobsearcher.job.v1","id":"3863b43695bbbbcb56005308","url":"https://jobsearcher.com/jobs/3863b43695bbbbcb56005308","canonicalUrl":"https://jobsearcher.com/jobs/3863b43695bbbbcb56005308","title":"Remote Data Engineering Manager: Lead Scalable Data Solutions","description":"HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).\r\nHackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.\r\nHackerOne Values\r\nHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.\r\nManager, Data Engineering\r\nRemote Location: Boston, MA; Austin, TX; or Washington, DC.\r\nPosition Summary\r\nHackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne 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 HackerOne'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 HackerOne forward.\r\nEnterprise Data & AI's Mission & Vision\r\nThe HackerOne 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.\r\nFlexible Work Approach\r\nAt HackerOne, 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.\r\nWhat You Will Do\r\nYour 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.\r\nWithin 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.\r\nWithin 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.\r\nAfter 90 days, you will:\r\nDeliver 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.\r\nBe 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.\r\nDrive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.\r\nChampion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.\r\nProvide technical leadership and mentorship, fostering a culture of continuous learning and growth.\r\nMinimum Qualifications\r\n8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role with proven track record of launching source of truth data marts, and at least 3+ years in a leadership role.\r\n8+ years of experience building and optimizing data pipelines, products, and solutions.\r\nExtensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.\r\nStrong proficiency in SQL for data manipulation in a fast-paced work environment.\r\nStrong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI.\r\nProven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results.\r\nPreferred Qualifications\r\nStrong proficiency in at least one data programming language such as Python or Scala.\r\nExperience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.\r\nProven track record of driving innovation, adopting emerging technologies and implementing industry best practices.\r\nPassion for working backwards from the Customer and empathy for business stakeholders.\r\nThrive on solving for ambiguous problem statements in an early-stage environment.\r\nExcellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.\r\nExperience shaping the strategic vision for data.\r\nExperience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.\r\nExperience working with Agile and iterative development processes.\r\nCompensation Bands\r\n$170,000 to $205,000 (+ equity)\r\nJob Benefits\r\nHealth (medical, vision, dental), life, and disability insurance*\r\nEquity stock options\r\nRetirement plans\r\nPaid public holidays and unlimited PTO\r\nPaid maternity and parental leave\r\nLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)\r\nEmployee Assistance Program\r\nEligibility may differ by country\r\nWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).\r\nVisa/work permit sponsorship is not available.\r\nEmployment at HackerOne is contingent on a background check.\r\nHackerOne 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.\r\nFor U.S. 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.\r\nJ-18808-Ljbffr","company":"Hackerone","rawCompany":"hackerone","city":"Washington","state":"DC","isRemote":true,"isActive":true,"createdAt":"2026-06-25T00:50:16.717Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote Data Engineering Manager: Lead Scalable Data Solutions","description":"HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).\r\nHackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations.\r\nHackerOne Values\r\nHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.\r\nManager, Data Engineering\r\nRemote Location: Boston, MA; Austin, TX; or Washington, DC.\r\nPosition Summary\r\nHackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne 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 HackerOne'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 HackerOne forward.\r\nEnterprise Data & AI's Mission & Vision\r\nThe HackerOne 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.\r\nFlexible Work Approach\r\nAt HackerOne, 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.\r\nWhat You Will Do\r\nYour 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.\r\nWithin 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.\r\nWithin 90 days, you will drive the continuous evolution and innovation of data at HackerOne, identifying and leading new initiatives. Additionally, you foster cross-departmental collaboration to enhance these efforts.\r\nAfter 90 days, you will:\r\nDeliver 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.\r\nBe 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.\r\nDrive continuous evolution and innovation, adoption of emerging technologies, and implementation of industry best practices.\r\nChampion a higher bar for discoverability, usability, reliability, timeliness, consistency, validity, uniqueness, simplicity, completeness, integrity, security, and compliance of information and insights across the company.\r\nProvide technical leadership and mentorship, fostering a culture of continuous learning and growth.\r\nMinimum Qualifications\r\n8+ years experience as an Analytics Engineer, Business Intelligence Engineer, or similar role with proven track record of launching source of truth data marts, and at least 3+ years in a leadership role.\r\n8+ years of experience building and optimizing data pipelines, products, and solutions.\r\nExtensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS.\r\nStrong proficiency in SQL for data manipulation in a fast-paced work environment.\r\nStrong proficiency in creating compelling data stories using data visualization tools such as Looker, Tableau, Sigma, Domo, or PowerBI.\r\nProven track record of having substantial impact across the company, as well as externally for the company, demonstrating your ability to drive positive change and achieve significant results.\r\nPreferred Qualifications\r\nStrong proficiency in at least one data programming language such as Python or Scala.\r\nExperience working within and with data from business applications such as Salesforce, Clari, Gainsight, Workday, GitLab, Slack, or Freshservice.\r\nProven track record of driving innovation, adopting emerging technologies and implementing industry best practices.\r\nPassion for working backwards from the Customer and empathy for business stakeholders.\r\nThrive on solving for ambiguous problem statements in an early-stage environment.\r\nExcellent communication skills, and can present data-driven narratives in verbal, presentation, and written formats.\r\nExperience shaping the strategic vision for data.\r\nExperience designing advanced data visualizations and data-rich interfaces in Figma or equivalent.\r\nExperience working with Agile and iterative development processes.\r\nCompensation Bands\r\n$170,000 to $205,000 (+ equity)\r\nJob Benefits\r\nHealth (medical, vision, dental), life, and disability insurance*\r\nEquity stock options\r\nRetirement plans\r\nPaid public holidays and unlimited PTO\r\nPaid maternity and parental leave\r\nLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)\r\nEmployee Assistance Program\r\nEligibility may differ by country\r\nWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).\r\nVisa/work permit sponsorship is not available.\r\nEmployment at HackerOne is contingent on a background check.\r\nHackerOne 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.\r\nFor U.S. 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.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:50:16.717Z","dateModified":"2026-06-25T00:50:16.717Z","hiringOrganization":{"@type":"Organization","name":"Hackerone","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3863b43695bbbbcb56005308"},"url":"https://jobsearcher.com/jobs/3863b43695bbbbcb56005308"}}