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 jobThe 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
