Data Engineer

The Data and Analytics Services (DAS) team is a data hub for the Platforms and Devices (P&D) organization. Our mission is to empower the devices organization with timely, accurate, and actionable data. We build and manage the centralized data warehouse, creating data pipelines and scalable analytics solutions on Google Cloud Platform. By partnering closely with business stakeholders, we translate complex data needs into tangible technical solutions that drive decision-making, product strategy, and operational efficiency via data driven insights. We are committed to upholding data quality, governance, and best practices, ensuring that data is a reliable and transformative asset for all Platforms and Devices. As a Data Engineer in the DAS team, you will play a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex and scalable data pipelines, moving beyond basic development to own key components of our data warehouse. With your technical expertise, you will handle massive datasets, write efficient SQL and Python code, and collaborate effectively with executive stakeholders and other engineers. You will not only build innovative data foundations, and AI-driven insights solutions, but also help define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.