Application Engineer, Data

$102,000 - $150,000/Yr

Google - Sunnyvale, CA

posted 2 months ago

Full-time - Entry Level
Sunnyvale, CA
10,001+ employees
Web Search Portals, Libraries, Archives, and Other Information Services

About the position

The Application Engineer, Data at Google is responsible for leading all aspects of web development, including requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. This role involves working closely with a cross-functional team to innovate and meet user and customer needs, particularly in the context of financial data analysis and reporting.

Responsibilities

  • Design, implement, and support exceptional business intelligence and analytical pipelines and applications using GCP, internal, and third-party tools.
  • Develop complex, big data pipelines and report solutions with extremely low tolerances for data error.
  • Lead design, data modeling, architecture, coding, performance tuning, testing, and support of analytical systems.
  • Ownership of the complete software development lifecycle.
  • Maintain the highest levels of development practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular, and self-sustaining code.
  • Implement projects in a multi-stakeholder and dynamic environment to achieve team and project goals.

Requirements

  • Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
  • Experience working with one or more general programming languages.

Nice-to-haves

  • Experience working with big data platforms such as BigQuery, F1, or Spanner.
  • Experience with Kimball data modeling and BUS architecture.
  • Experience automating data reconciliations for large scale financial data marts with low tolerances for data error.
  • Experience with GCP stack.
  • Knowledge of data warehousing concepts and best practices.

Benefits

  • Health insurance
  • 401k
  • Paid holidays
  • Flexible scheduling
  • Professional development
  • Tuition reimbursement
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