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1 день назад

Senior Analytics Engineer (Fintech)

198 000 - 250 000$
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): Designing and building robust data models and semantic layers to power identity risk solutions with an accent on dbt, Snowflake, and data governance. Focus on establishing engineering standards, ensuring data trustworthiness, and enabling scalable analytics for internal and customer-facing products.

Location: Must be based in New York City; hybrid work with Tuesday-Thursday in-office at our Union Square HQ.

Salary: $198,000 - $250,000

Company

hirify.global helps financial institutions and fintechs solve identity risk problems by enabling them to outpace fraud and confidently serve customers globally.

What you will do

  • Design and build robust dbt models serving as the foundation for analytics, machine learning, and customer-facing data products.
  • Own and evolve the semantic layer to define metrics, dimensions, and business logic for internal and agentic tooling.
  • Partner with Engineering and Data Science to ensure the Snowflake data warehouse is performant and well-structured.
  • Establish and champion best practices for data modeling, testing, documentation, and code review.
  • Collaborate with product and client-facing teams to deliver native warehouse data solutions.
  • Build observability and governance frameworks to maintain data quality at scale.

Requirements

  • 5+ years of experience in analytics engineering, data engineering, or a closely related role.
  • Strong command of dbt and SQL.
  • Hands-on experience with Snowflake or a comparable cloud data warehouse.
  • Experience building or maintaining a semantic or metrics layer.
  • Must be local to New York City and able to work in-office Tuesday-Thursday.
  • Strong understanding of data modeling fundamentals and data governance.

Nice to have

  • Experience with native warehouse data delivery or data sharing patterns.
  • Background in fintech, financial services, or regulated industries.
  • Exposure to agentic or LLM-based workflows.
  • Experience with BI tooling like Looker or Tableau.

Culture & Benefits

  • Unlimited PTO and flexible work policy.
  • Medical, dental, and vision plans with HSA and FSA options.
  • 401k with 100% match up to 4% of annual compensation.
  • 16 weeks of paid parental leave for new parents.
  • Annual Learning & Development stipend and home office stipend.
  • Catered lunches in the office and frequent cultural events.

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