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8 часов назад

Data Engineer (Google Cloud)

Формат работы
onsite
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

Текст:
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TL;DR
Data Engineer (Google Cloud): Building and managing governed ETL/ELT data pipelines and Bronze/Silver/Gold data layers for reliable analytics across multiple ERP and business systems with an accent on data modeling, quality, governance, and platform modernization. Focus on migrating to Google Cloud, eliminating redundant data paths, embedding validation and error handling, and applying AI coding tools to optimize pipeline delivery.

Location: Elk Grove Village, Illinois, United States

Company

hirify.global is a family-owned electrical supply business focused on serving communities through teamwork and customer focus.

What you will do

  • Design, build, and maintain scalable ETL/ELT pipelines integrating Eclipse/Epicor, Salesforce, Workday, and other source systems.
  • Develop Bronze, Silver, and Gold data layers, schemas, and models that establish a single source of truth.
  • Lead the technical build-out of the data platform supporting migration to Google Cloud and replacement of shadow data paths.
  • Implement data validation, governance, error handling, monitoring, and security across four ERP instances.
  • Mentor SQL Developers through coaching, code reviews, and standards for SQL and pipeline design.
  • Collaborate with DBA, BI Developers, and business stakeholders while documenting data flows, transformations, and architecture.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.
  • 5–7+ years of experience in data engineering, ETL development, or database development.
  • Strong hands-on SQL and relational database experience, including data modeling and layered architectures such as Bronze/Silver/Gold.
  • Experience with ETL/ELT tools such as SSIS or Azure Data Factory and with cloud data platforms; Google Cloud experience is strongly preferred.
  • Ability to mentor developers, diagnose data integrity issues, and communicate technical concepts to non-technical stakeholders.
  • Willingness to learn and apply AI coding tools such as Claude Code.

Nice to have

  • Experience supporting multi-entity or multi-ERP environments.
  • Working knowledge of NoSQL databases.
  • Python or similar scripting experience for automation and data transformation.
  • Experience with Eclipse/Epicor ERP systems and hands-on AI experience.

Culture & Benefits

  • Family-owned culture focused on quality, teamwork, customer focus, and professional advancement.
  • Health, dental, and vision coverage, subject to plan terms.
  • 401(k), flexible spending accounts, life insurance, disability coverage, long-term care, and Employee Assistance Program.
  • Paid time off, excused absence time, and company-paid holidays.
  • Pre-employment assessments, background and reference checks, Motor Vehicle Record review, and a post-offer drug screen are required.

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