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1 день назад

Senior Analytics Engineer (Fintech)

175 000 - 200 000$
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 (Fintech): Building and owning the semantic layer, data pipelines, and dimensional models for a high-trust audit and assurance platform with an accent on data reliability, canonical metric definition, and scalable warehouse architecture. Focus on migrating production logic to governed dbt models, ensuring correctness for customer-facing reports, and supporting AI-native data interfaces.

Location: Must be based in San Francisco, CA and energized by in-person collaboration

Salary: $175,000 – $200,000

Company

hirify.global is an early-stage startup automating and streamlining assurance and audit workflows for cybersecurity, privacy, and financial sectors.

What you will do

  • Design and own the Insights semantic layer to ensure consistent, trusted metrics across the business.
  • Standardize core metric definitions and reconcile data across sources like Amplitude.
  • Migrate production report logic into governed, tested, and portable dbt models.
  • Improve pipeline reliability through proactive monitoring, alerting, and resilience to schema changes.
  • Contribute to the design of a Kimball-style dimensional warehouse serving both BI and LLM-based analytics.
  • Partner with internal teams and customers on data quality, triage, and new environment launches.

Requirements

  • Must be based in San Francisco, CA
  • 4+ years of experience in a modern data stack with advanced SQL and deep hands-on dbt expertise.
  • Production-quality Python skills and experience with version control and CI.
  • Strong dimensional modeling skills (Kimball, slowly changing dimensions).
  • Deep experience with BigQuery and cloud data warehousing, including performance optimization.
  • Strong judgment for data quality and validation.

Nice to have

  • Generalist background as a data engineer, software engineer, or data scientist.
  • Experience feeding LLM or AI-native data interfaces.
  • BI migration experience (Looker, Omni, Tableau).
  • Experience in regulated domains where correctness is non-negotiable.

Culture & Benefits

  • Competitive compensation with meaningful equity ownership.
  • Flexible PTO and flexible work schedules.
  • 401(k) retirement plan.
  • Wellness benefits starting on the first day.
  • Technology and work-from-home reimbursement.

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