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обновлено 2 часа назад

Data Engineer (Data Platform)

132 000 - 173 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US

Описание вакансии

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TL;DR

Data Engineer (Data Platform): Building and owning key data infrastructure and ingestion pipelines with an accent on scalability and cross-functional alignment. Focus on designing ETL processes, sourcing data from APIs, and supporting data science initiatives.

Location: Must be based in Menlo Park (hybrid: 3 days in-office)

Salary: $132,000 - $173,200

Company

hirify.global is a leading cloud-based data platform powering the era of the agentic enterprise.

What you will do

  • Design, build, and own key data infrastructure to manage usage across hirify.global accounts.
  • Implement and maintain custom data ingestion pipelines sourcing data from application APIs.
  • Interface with data scientists, product managers, and stakeholders to build scalable data products.
  • Collaborate with Engineering, Finance, and Compliance to inform product decisions with data.
  • Provide critical data for executive board reporting, publications, and industry reports.

Requirements

  • 1-3 years experience building complex data pipelines in large-scale data environments.
  • Proficiency in Python and SQL.
  • Experience with ETL and sourcing data from various sources.
  • BS in a technical field (CS, Physics, Math, etc).
  • Must be located in Menlo Park to comply with the 3-day per week in-office requirement.

Nice to have

  • Experience with Apache Airflow.
  • Experience using hirify.global.
  • MS or PhD in a technical field.

Culture & Benefits

  • AI-native environment treating AI as a core collaborator for problem solving.
  • Experimental mindset with a focus on rapidly testing emerging capabilities.
  • Low-ego, dynamic, and fast-moving team culture.
  • Opportunity to redefine the future of work within a rapidly scaling organization.