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Google

Analytics Engineer

Google Austin, Texas, United States · $139K–$172K/yr

Software Development · 10,001+ employees

5 d ago
data-analyst Senior (5-10 yrs) Full-time United States
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About the role

The role involves owning data engineering workstreams including data acquisition, pipelining, and warehousing while collaborating on custom web applications. Additionally, the candidate will design and implement advanced analytics, AI/ML integrations, and data visualizations to solve business problems.

What they look for

Web application development Angular React .Net AI/ML analytics PowerBi Tableau ETL pipelines Informatica Microsoft SSIS Databricks Predictive analytics Forecasting Scikit TensorFlow PyTorch

Requirements

Candidates must hold a Bachelor's degree with 5 years of experience or a Master's degree with 3 years of experience in a relevant field. Required technical expertise includes full-stack web development, ETL pipeline design, and proficiency in AI/ML technologies like TensorFlow and PyTorch.

Benefits

Bonus Equity Health Insurance

Full 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

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