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Senior Analytics Engineer (dbt/Snowflake)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Mexico/Canada
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): Building scalable data models, semantic-layer capabilities, dashboards, predictive models, and AI-enabled data solutions for a fleet operations platform with an accent on business impact, data quality, and self-service analytics. Focus on owning ambiguous projects end to end, designing governed metrics, and connecting analytics, data science, and operational workflows.

Location: Remote within the United States, Canada, or Mexico

Company

hirify.global is a software platform that helps organizations manage fleet operations and is building a modern data and analytics function.

What you will do

  • Identify high-value opportunities where data, analytics, or automation can improve business outcomes.
  • Own projects from problem definition through implementation, adoption, and impact measurement.
  • Partner with business stakeholders to shape solutions to ambiguous problems and challenge assumptions.
  • Build scalable, production-quality data models in dbt and reusable data foundations for BI, operational workflows, ML, and AI use cases.
  • Improve data quality, consistency, and usability through modeling, testing, documentation, and metric governance.
  • Contribute to technical design and knowledge sharing across the team.

Requirements

  • 5–7 years of experience solving complex business problems with data in analytics engineering, data engineering, data science, analytics, or a similar role.
  • Experience independently identifying opportunities and owning projects through delivery and adoption.
  • Experience partnering directly with business stakeholders and influencing solution direction.
  • Excellent SQL skills and proficiency with Python.
  • Extensive experience with dbt and Snowflake, including reusable data models for self-service analytics.
  • Experience with BI dashboards, semantic layers, and governed metric definitions.

Nice to have

  • Familiarity with predictive modeling and machine learning concepts.
  • Experience with reverse ETL and data activation.
  • Front-end development experience and experience creating user-facing applications.

Culture & Benefits

  • Remote-working friendly since 2012.
  • Health, dental, vision, FSA, HSA, disability, and parental leave benefits.
  • Four weeks of PTO, company holidays, and additional floating holidays.
  • 401(k) match of 4% and incentive stock options.
  • Professional development, community service, wellbeing, and business expense funds.
  • Mac laptop and new-hire equipment stipend.

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