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49 минут назад

Senior Product Analytics Engineer (Cybersecurity)

142 718 - 186 560$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Product Analytics Engineer (Cybersecurity): Building scalable ELT pipelines, canonical product data models, semantic layers, and certified analytics assets for cybersecurity product usage with an accent on data governance, self-service analytics, and trusted metrics. Focus on modeling source data, monitoring quality and anomalies, translating usage signals into production-grade expansion metrics, and aligning technical definitions with business needs.

Location: Remote within the United States. The company also has a Chicago office, where some roles require regular in-office presence.

Base salary: $142,718–$186,560 per year, plus potential equity in the form of stock options.

Company

hirify.global is a remote cybersecurity company developing NodeZero, a platform for production-safe autonomous penetration testing and security assessment operations.

What you will do

  • Design, build, and maintain scalable ELT pipelines and data models for product usage and event telemetry.
  • Partner with Product Engineering to shape canonical product data, usage cohorts, and behavioral signal definitions.
  • Build the semantic layer and self-service data models for Product Analytics.
  • Support data governance through taxonomy definition, metric certification, and machine-readable documentation.
  • Own data quality monitoring and anomaly detection for product usage data.
  • Build production-grade metrics and pipelines for expansion and upsell cohort analysis.

Requirements

  • Must be based in the United States for this remote role.
  • Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
  • 7+ years of experience spanning data engineering and analytics.
  • Advanced SQL and hands-on experience with dbt.
  • Experience building production data pipelines and stakeholder-facing analytics or dashboards.
  • Experience translating ambiguous business requirements into governed, well-documented data models.

Nice to have

  • Experience partnering with product and engineering teams on instrumentation and source data design.
  • Experience contributing to data governance or metric-certification processes.
  • Familiarity with Tableau, Looker, or Power BI.
  • Experience with AWS, GCP, or Azure, plus Git-based workflows and CI/CD for data pipelines.
  • Regular use of AI tools in coding and development workflows.

Culture & Benefits

  • Inclusive, collaborative culture focused on respect, ownership, and results.
  • Remote and hybrid work models depending on the role and location.
  • Health, vision, and dental insurance for employees and families.
  • Flexible vacation policy and generous parental leave.
  • Career development opportunities in a growing cybersecurity company.

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