Analytics Engineer

Google; Austin (TX); Hybrid; USD 139,000 - 172,000; Full time

Job summary

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. The US base salary range for this full-time position is $139,000 - $172,000 + 15% bonus

Qualifications

• Bachelor’s degree in CS/Engineering or related field with 5+ years of experience in manufacturing engineering or related roles.
• Alternatively, Master’s degree in CS/Engineering or related field with 3 years of experience in the job offered.
• 3 years of experience in full-stack web development, AI/ML analytics, dashboards, ETL pipelines, and predictive analytics using industry-standard tools.

Responsibilities

• Own data engineering workstreams: data acquisition, data pipelining, data quality, data prep, and data warehousing.
• Collaborate with team to deliver custom web applications.
• Design and implement advanced analytics, AI/ML integrations, and rich data visualizations.
• Engage stakeholders to understand business needs and develop innovative solutions.
• Incubate, prototype, and iterate to bring ideas to production.

Skills

Full stack development

AI/ML analytics

Data visualization

Education

Bachelor's degree in CS/Engineering or related field

Master's degree in CS/Engineering or related field

Tools

Power BI

Tableau

Job description

Minimum qualifications

• Bachelor’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Manufacturing Engineer-related occupation.
• Alternatively, will accept a Master’s degree in Computer Science, Manufacturing Engineering, Industrial Engineering, Mechanical Engineering or a related field, and 3 years of experience in the job offered or in a Manufacturing Engineer-related occupation.
• Position requires 3 years of experience in the following: Web application development across the full stack, including client and server side code, and interactive visualizations, using industry standard technologies such as Angular, React, or .Net; Development of AI/ML analytics, and integration into a reporting stack; Dashboard design and creation using common tools, such As PowerBi and Tableau; Design and development of ETL pipelines for enterprise data applications, using industry standard tools such as Informatica, Microsoft SSIS, or Databricks; and Experience delivering predictive analytics and forecasting using technologies such as scikit, TensorFlow, and PyTorch.

About The Job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $139,000 - $172,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google .

Position reports to the Google office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• 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
• Design and implement advanced analytics, AI/ML integrations, and rich data visualizations.
• Consistently engage stakeholders and partner teams to gain a deep understanding of business needs, and to develop innovative solutions to challenging business problems.
• Incubate, prototype, and iterate in this space to quickly bring new ideas to production

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .