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1 день назад

Implementation Engineer (Data Engineering)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
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

Implementation Engineer (Data Engineering): Leading complex implementation projects to integrate enterprise data estates into the hirify.global context layer with an accent on data pipeline development and system integration. Focus on bridging technical gaps for Fortune 500 customers, optimizing data flow, and expanding the connector ecosystem.

Location: Remote (United States)

Company

hirify.global is building a shared context layer for data and AI to help enterprises unify metadata, governance, and discovery.

What you will do

  • Lead complex implementation projects for Fortune 500 customers to maximize the value of the hirify.global platform.
  • Design and execute implementation roadmaps while managing technical risks and dependencies.
  • Integrate complex data estates and create seamless connections between various data systems.
  • Partner with Product and Engineering teams to expand the platform's connector ecosystem.
  • Provide technical leadership and guidance on data engineering best practices and optimization.

Requirements

  • 5+ years of experience as a data engineer, consultant, or in a field engineering role.
  • Deep expertise in data pipeline development, ETL processes, and system integration.
  • Working knowledge of orchestration tools such as Docker or Kubernetes.
  • Proven track record of managing technical relationships with enterprise clients.
  • Ability to translate complex technical concepts for both technical and non-technical stakeholders.
  • Must be based in the United States

Culture & Benefits

  • Competitive compensation including strong base salary, performance-based variable pay, and impact-driven equity.
  • Comprehensive health, dental, vision, and mental health coverage available from Day 1.
  • Flexible time off and modern leave policies to ensure recovery and balance.
  • AI-native culture with a trust-first, asynchronous remote-first environment.
  • Opportunities for accelerated growth through exposure to cutting-edge tech and complex implementations.

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