Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль старшего инженера по данным описана понятно, а Snowflake, dbt и Airflow востребованы, но начальный контракт всего на четыре месяца и фиксированный график по восточному времени США добавляют неопределённости и снижают гибкость.
Короткий контракт
График по США
Актуальный стек данных
Понятная зона ответственности
?Работа на проекте клиента
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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