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3 дня назад

Senior Analytics Engineer

118 000 - 182 000$
Формат работы
hybrid
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

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TL;DR

Senior Analytics Engineer (dbt/Snowflake): Design scalable data models and semantic layers for enterprise reporting, decision-making, and AI use cases with an accent on Finance, HR metrics, revenue, billing, and attrition. Focus on standardizing business logic, preparing AI-ready datasets with Snowflake Cortex, implementing data quality practices, and ensuring governance and trust.

Location: Bellevue, WA; Chicago, IL; San Francisco, CA (#LI-Hybrid)

Salary: $118,000–$182,000 USD (varies by location: SF Bay Area $132,000–$182,000; other listed states $118,000–$162,000)

Company

hirify.global builds trusted identity infrastructure securing AI and human identities for organizations worldwide.

What you will do

  • Design, build, and maintain scalable data models using dbt and Snowflake for Finance, HR, and enterprise metrics.
  • Define and standardize core metrics like revenue, ARR, billing, attrition with governed logic and semantic clarity.
  • Prepare high-quality datasets for Snowflake Cortex, LLM use cases, and AI-powered workflows.
  • Implement data quality testing, validation, documentation, governance, access controls, and lineage in dbt.
  • Partner with Finance, Analysts, and stakeholders to translate business needs into reusable data solutions.
  • Contribute to agile planning, self-service analytics, and scalable workflows balancing short- and long-term needs.

Requirements

  • 5–8+ years in Analytics Engineering, Data Engineering, or similar
  • Strong SQL and experience building analytics-ready data models
  • Hands-on with dbt and Snowflake (or similar ETL/modeling tools)
  • Solid data modeling principles including dimensional modeling and semantic design
  • Experience translating ambiguous business challenges into robust data solutions
  • Familiarity with SaaS metrics, Finance/People data (ARR, revenue, billing, attrition)
  • Data quality, testing, documentation best practices
  • Mentorship, establishing dbt/SQL standards and CI/CD

Nice to have

  • Python, R, or PySpark
  • BI tools like Tableau or Looker
  • AI-first mindset and exposure to Snowflake Intelligence

Culture & Benefits

  • Flexible work environment tailored to individual needs with hybrid options.
  • Comprehensive benefits: health/dental/vision insurance, 401(k), FSA, PTO, parental leave.
  • Equity, bonus, and Total Rewards program.
  • Focus on well-being, social impact, diversity, equity, inclusion, and professional development.
  • Global community with in-person onboarding for connection and impact.

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