Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$143к-187к/год
$160к$190кмедиана$210к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $3.7к/мес ($2.9к - $4.3к)
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Роль описана чётко, продукт в сфере кибербезопасности выглядит перспективно, а зарплатный диапазон и опционы указаны открыто. Но зарплата ниже рыночного ориентира, а фокус на федеральных требованиях может сузить круг задач.
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Ниже рынкаАктуальный стекКибербезопасностьЧёткие задачиЕсть опционы
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Federal Senior Product Analytics Engineer (SQL/dbt/Cybersecurity): Building governed product data models, scalable ELT pipelines, semantic layers, and certified analytics assets for Federal product usage and revenue-growth initiatives with an accent on data governance, source instrumentation, and data quality. Focus on designing production-grade metrics, detecting anomalies, enabling self-service analytics, and ensuring compliance with FedRAMP, DoW IL4/5, and classified-workload frameworks.
Location: US, Remote
Salary: $142,718–$186,560 annually, plus equity eligibility for full-time roles.
Company
hirify.global is a remote cybersecurity product company developing the NodeZero platform for autonomous penetration testing and security assessment operations.
What you will do
Design, build, and maintain scalable ELT pipelines and data models that convert product usage and event telemetry into trusted analytics assets.
Partner with Product Engineering to shape the canonical product data layer, including usage cohorts and behavioral signals.
Build and own the semantic layer and self-service data models for Product Analytics.
Support data governance through taxonomy definition, metric certification, and machine-readable documentation.
Own product-usage data quality monitoring and anomaly detection, collaborating with Data Engineering on pipeline-level issues.
Build certified metrics and production-grade models for expansion and upsell analysis, including feature adoption and seat utilization.
Requirements
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 or government-approved equivalents.
Experience building production data pipelines, stakeholder-facing analytics, and dashboards.
Experience translating ambiguous business requirements into governed, well-documented data models.
Ability to work remotely from the United States.
Nice to have
Experience partnering with Product Engineering on instrumentation and source data design.
Experience with data governance or metrics-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.
Experience using AI tools in coding and development workflows or working in FedRAMP, IL4/5, and classified environments.
Culture & Benefits
Inclusive, collaborative culture focused on respect, ownership, and results.
Flexible remote and hybrid work models depending on role and location.
Health, vision, and dental insurance for employees and families.
Flexible vacation policy and generous parental leave.
Career development opportunities, competitive compensation, and equity for full-time roles.
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