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Data Infrastructure Engineer - Google Fi and Store

Google

$166,000 - $244,000
Aug 28, 2025
Mountain View, CA, USA
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Google Fi Wireless and Google Store organizations need to fuel data-motivated impact across multiple functions by empowering them with the data, tools, and insights needed to make informed decisions and drive growth.

Requirements

  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or with compute technologies, storage or hardware architecture.
  • 3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 5 years of experience with data structures/algorithms.
  • Experience in data engineering with data modeling, experimentation, data analytics.
  • Experience in working with data pipelines (e.g., Flume, Spanner, SQL pipelines).
  • Experience in designing database system or data infrastructure.

Responsibilities

  • Design, develop, and maintain data solutions and pipeline.
  • Implement best practices for data quality, security, and privacy.
  • Enable data applications (e.g., data visualization, Artificial Intelligence (AI)).
  • Support cross-functional teams and leadership for data-motivated decision making.
  • Develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
  • Work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
  • Design, develop, and maintain data solutions and pipelines.

Other

  • Collaborate with cross-functional teams.
  • Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
  • Bachelor’s degree or equivalent practical experience.
  • Master's degree or PhD in Computer Science or a related technical field.
  • Excellent technical and data management skills.