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Data Engineer, Platforms and Devices

Google organizes the world's information and makes it universally accessible and useful, creating radically helpful experiences through AI, Software, and Hardware.
$150,000 - $220,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS

Description For Data Engineer, Platforms and Devices

Google's Platforms and Devices (P&D) team is seeking a Data Engineer to join their Insights and Analytics group. This role is crucial in supporting the team that oversees popular products like Android, ChromeOS, Pixel phones, and smart home devices. The position involves building and maintaining data processing systems, machine learning pipelines, and automation software to drive better decision-making.

The ideal candidate will bring strong expertise in distributed data processing, investigative thinking, and software development. You'll work with cutting-edge technologies including BigQuery, Dataflow, AutoML, and Cloud Composer, while building solutions that directly impact Google's consumer products.

The role offers competitive compensation ($150,000-$220,000 base salary) plus bonus, equity, and comprehensive benefits. You'll be working in either Mountain View, CA or Chicago, IL, collaborating with analysts, data scientists, and business stakeholders to build and optimize data infrastructure.

This position represents an opportunity to work on large-scale data challenges while contributing to products used by millions. You'll be expected to advocate for engineering best practices, write highly-readable code, lead training, and stay current with policy requirements. The role combines technical expertise with business impact, making it ideal for someone who wants to influence product decisions through data.

Last updated 7 days ago

Responsibilities For Data Engineer, Platforms and Devices

  • Gather requirements from analysts, data scientists, and business stakeholders
  • Build, optimize and maintain data infrastructure including large-scale data processing pipelines
  • Advocate engineering best practices within the team
  • Stay up to date and comply with policy and governance requirements

Requirements For Data Engineer, Platforms and Devices

Python
  • Bachelor's degree or equivalent practical experience
  • 5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration
  • 5 years of experience coding in one or more programming languages
  • 5 years of experience working with data infrastructure and data models

Benefits For Data Engineer, Platforms and Devices

Medical Insurance
401k
  • Bonus
  • Equity
  • Benefits package

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