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's mission to leverage data for better decision-making across Android, ChromeOS, and hardware products like Pixel phones and smart home devices. The position requires expertise in distributed data processing, investigative thinking, machine learning, and software development.

The role involves building and maintaining sophisticated data processing pipelines, ML model training/tuning, and orchestration workflows using cutting-edge technologies like BigQuery, Dataflow, and AutoML. You'll work closely with analysts, data scientists, and business stakeholders to gather requirements and implement solutions that align with business priorities.

As a Data Engineer at Google, you'll be part of a team that combines AI, Software, and Hardware to create innovative user experiences. The position offers competitive compensation ($150,000-$220,000 base salary), plus bonus, equity, and comprehensive benefits. You'll have the opportunity to work in either Mountain View, CA or Chicago, IL, contributing to Google's mission of organizing the world's information and making it universally accessible.

The ideal candidate will have 5+ years of experience in data pipeline design, programming, and data infrastructure, with expertise in SQL and distributed systems. You'll be expected to advocate for engineering best practices, write clear documentation, and maintain high coding standards while navigating complex policy and governance requirements.