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6 дней назад

Senior Analytics Engineer

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 Analytics Engineer (Data/SaaS): Building and maintaining scalable data pipelines and dimensional models for GTM and Product domains with an accent on dbt, Snowflake, and data governance. Focus on translating ambiguous business needs into reliable data products, enabling self-service analytics, and ensuring high-quality data for forecasting and product insights.

Location: Must be based in the United States

Company

hirify.global is a SaaS platform that empowers creators to own their destiny by making first-party data accessible and actionable for personalized ecommerce experiences.

What you will do

  • Own and deliver end-to-end data pipelines and models for Sales and Product analytics.
  • Design and maintain dimensional data models using dbt in Snowflake.
  • Partner with GTM, Product, and Engineering teams to create holistic customer and product lifecycle views.
  • Implement testing frameworks, monitoring, and documentation to ensure data quality and compliance.
  • Operationalize insights through reverse ETL workflows.
  • Mentor team members through design reviews and technical guidance.

Requirements

  • 5+ years of experience in analytics or data engineering within a modern data stack.
  • Strong expertise in SQL and dbt for building production-grade data models.
  • Proficiency in Python for orchestration and tooling.
  • Proven ability to lead cross-functional projects and translate business needs into technical solutions.
  • Experience with data testing, monitoring, and governance frameworks.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with Sales Operations, compensation, or GTM analytics.
  • Familiarity with reverse ETL tools, Airflow, Fivetran, or Workato.
  • AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform).
  • Exposure to experimentation frameworks or product analytics systems.
  • Experience with data privacy controls and compliance.

Culture & Benefits

  • Comprehensive health, welfare, and wellbeing benefits.
  • Annual cash bonus plan and equity participation.
  • Supportive environment that values unique backgrounds and perspectives.
  • Commitment to equal opportunity and non-discrimination.
  • Opportunities for professional growth in a collaborative, creator-focused culture.

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