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6 дней назад

Senior Data Engineer (Snowflake)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Europe
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): Building scalable, reliable data pipelines and models for an EdTech data platform with an accent on Snowflake performance tuning, dbt-based ELT, and workflow orchestration. Focus on designing data foundations for analytics and AI/ML applications, modernizing the data platform, and driving complex technical initiatives through production.

Location: Fully remote for candidates located in Latin America and Eastern Europe; work hours must be 9 am–6 pm US East Coast time.

Company

hirify.global is a global technology services company providing cloud architecture, infrastructure, migration, optimization, and continuous delivery solutions for enterprises and startups. This role supports a US-based EdTech client focused on financial literacy, life skills, and regulatory compliance.

What you will do

  • Own complex technical projects with minimal direction.
  • Design scalable, maintainable, and well-documented data pipelines and models.
  • Make architectural decisions and improve existing data engineering processes.
  • Identify automation opportunities, technical risks, performance improvements, and modernization initiatives.
  • Drive technical initiatives from design through production and mentor engineers through code reviews and technical guidance.

Requirements

  • At least 5 years of relevant experience, ideally 7 or more.
  • Robust experience with Snowflake, including performance tuning and modern Snowflake capabilities.
  • Experience building and maintaining ELT pipelines with dbt.
  • Experience orchestrating data workflows with Apache Airflow or a similar orchestration platform.
  • Experience creating reports and data visualizations with Sigma, Tableau, or Power BI.
  • Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices.
  • Must be located in Latin America or Eastern Europe and able to work US East Coast office hours.

Nice to have

  • Experience designing and preparing scalable, high-quality data foundations for AI/ML applications using Snowflake Cortex AI.

Culture & Benefits

  • Totally remote, full-time position with a 40-hour work week.
  • Working schedule is 8 hours per day during US Eastern time office hours.
  • Independent contractor agreement with an initial four-month duration.
  • The contract may extend to a full year or longer based on performance and continued need.
  • Payment is made in USD, either biweekly or monthly.

Hiring process

  • Recruiter interview lasting 30 minutes.
  • Technical interview lasting 30 minutes.
  • Three client interviews; durations are still being determined.

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