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20 часов назад

Senior Data Engineer (Snowflake/dbt)

140 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
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 Data Engineer (Snowflake/dbt): Building and operating a scalable analytics data platform with an accent on production-grade pipelines, Snowflake warehousing, dbt modeling, and reliable datasets. Focus on optimizing complex SQL, integrating SaaS data sources, applying CI/CD and testing practices, and owning data solutions end to end.

Location: Hybrid in Denver, Colorado, with at least 3 days per week in the office

Base salary: $140,000–$180,000 per year, plus eligibility for a company bonus plan

Company

hirify.global develops software and AI-powered solutions that support legal professionals and law firms worldwide.

What you will do

  • Design, build, and maintain production-grade data pipelines and ELT workflows at scale.
  • Develop and own a Snowflake-based data warehouse using dbt models, tests, documentation, and incremental strategies.
  • Translate analytics and business requirements into reliable, well-modeled datasets.
  • Write and optimize complex SQL for large analytical datasets.
  • Integrate data from CRM, product analytics, finance, and other third-party SaaS platforms.
  • Own data solutions end to end, including technical design, documentation, testing, CI/CD, production quality, and long-term maintainability.

Requirements

  • 5+ years of experience designing, building, and operating production-grade data platforms, scalable pipelines, and cloud data warehouses.
  • 2+ years of production experience using dbt for scalable and well-tested data warehouse solutions.
  • Strong SQL expertise, including complex analytical queries, performance optimization, and large datasets.
  • Production experience with Snowflake or a similar cloud data warehouse.
  • Strong proficiency in Python or another object-oriented language, including maintainable and tested code.
  • Solid data and software engineering fundamentals, including data modeling, Git, testing, documentation, and cross-functional collaboration.

Nice to have

  • Advanced Snowflake expertise in performance tuning, query profiling, and warehouse optimization.
  • Experience with dimensional and enterprise data modeling methodologies such as Kimball or Inmon.
  • Experience owning analytics solutions for Finance, Sales, or Marketing domains.
  • Advanced Python experience or multiple production dbt implementations with mature testing, CI/CD, and multi-environment deployment practices.

Culture & Benefits

  • Collaborative environment focused on support, integrity, and cross-functional work.
  • Global collaboration with teams around the world.
  • Opportunities for career development, visibility, and increased impact.
  • Work at the intersection of legal technology, customer outcomes, and AI-driven innovation.
  • Medical, dental, and vision coverage, 401(k) with company match, bonus eligibility, and incentive and recognition programs.

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