Data Center Analytics Engineer

Google • Austin, TX

3d • $115,000 - $166,000

About The Position

Be part of a team that pushes boundaries, developing custom silicon solutions
that power the future of Google's direct-to-consumer products. You'll contribute
to the innovation behind products loved by millions worldwide. Your expertise
will shape the next generation of hardware experiences, delivering unparalleled
performance, efficiency, and integration.
The Data Center Quality Analytics team delivers automated insights for improving
quality and operations in Google’s data centers. We deliver on-demand, custom
insights through data engineering, advanced analytics, AI integrations, and
custom application development.

The AI and Infrastructure team is redefining what’s possible. We empower Google
customers with breakthrough capabilities and insights by delivering AI and
Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our
customers include Googlers, Google Cloud customers, and billions of Google users
worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering
the development of our cutting-edge AI models, delivering unparalleled computing
power to global services, and providing the essential platforms that enable
developers to build the future. From software to hardware our teams are shaping
the future of world-leading hyperscale computing, with key teams working on the
development of our TPUs, Vertex AI for Google Cloud, Google Global Networking,
Data Center operations, systems research, and much more.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 5 years of experience in delivering analytics and data science applications
• 5 years of experience in Data Engineering

Nice To Haves

• Experience with Machine Learning and AI Integrations
• Experience with web development

Responsibilities

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level