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Hardware Quality and Operations Analytics Engineer, Data Centers

A leading technology company that develops innovative products and services used by millions worldwide.
Data
Mid-Level Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Job Description

Google is seeking a Hardware Quality and Operations Analytics Engineer to join their Data Center Quality Analytics team. This role combines data engineering, advanced analytics, and custom application development to deliver insights that improve hardware quality and operations in Google's data centers. The position is part of the Technical Infrastructure team, which is fundamental to keeping Google's vast product portfolio running efficiently.

The ideal candidate will work at the intersection of hardware quality, data analytics, and machine learning, developing solutions that directly impact Google's data center operations. You'll be responsible for designing and implementing advanced analytics systems, managing data engineering workflows, and creating custom web applications. The role requires a strong background in both technical skills (SQL, Java, TypeScript) and domain knowledge in manufacturing quality and operations.

This is an excellent opportunity for someone who wants to make a significant impact on Google's infrastructure while working with cutting-edge technology. The position offers the flexibility of remote work from Mexico, and you'll be part of a team that's essential to Google's technical operations. You'll collaborate with various stakeholders to understand business needs and develop innovative solutions for complex technical challenges.

The role combines the excitement of working with advanced technology with the practical impact of improving real-world operations. You'll be at the forefront of data-driven decision making in one of the world's largest tech companies, with the opportunity to influence how Google's data centers operate and perform.

Last updated 3 days ago

Responsibilities For Hardware Quality and Operations Analytics Engineer, Data Centers

  • Design and implement advanced analytics, AI/ML integrations, and data visualizations
  • Own data engineering workstreams, including data acquisition, data pipelining, data quality, data preparation, and data warehousing
  • Collaborate with team members in delivering custom web applications
  • Engage with stakeholders and partner teams to gain a deep understanding of business needs, and to develop innovative solutions to test business problems

Requirements For Hardware Quality and Operations Analytics Engineer, Data Centers

Java
TypeScript
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • 5 years of experience in Manufacturing Quality or Operations domains
  • 3 years of experience in development and tuning of databases and SQL
  • 3 years of experience in delivering analytics and data science applications
  • Experience in web applications development

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