Data Center Analytics Engineer

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5 years of experience in manufacturing or data analysis.
• 3 years of experience in development and tuning of databases and SQL.

Preferred qualifications:

• 3 years of experience in delivering analytics and data science applications.
  
• Experience in web applications development experience.
• Experience in Quality or Operations domains.
• Excellent written and verbal communication skills.
  

About the job

At Google, our philosophy is build it, break it and then rebuild it better. That thinking is at the core of how we approach testing at Google. Unlike roles with similar names at the other companies, Test Engineers at Google aren't manual testers -- you write scripts to automate testing and create tools so developers can test their own code. As a Test Engineer, you navigate Google's massive codebase, identify weak spots and constantly design better and creative ways to break software and identify potential problems. You'll have a huge impact on the quality of Google's growing suite of products and services.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $111,000-$163,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Design and implement advanced analytics, AI/ML integrations, and 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.
  
• Consistently engage stakeholders and partner teams to gain an understanding of business needs, and to develop innovative solutions to challenging business problems.