Data Engineer, Play Data Science and Analytics

Google is seeking a Data Engineer for their Play Data Science and Analytics team to design and build data marts that will empower and accelerate the DSA team and its stakeholders. This role requires deep expertise in data architecture, pipeline design, and quality processes. The ideal candidate will bridge the gap between data scientists and their data requirements, while ensuring data availability, usability, and accuracy.

The position involves working with various DSA teams and upstream analytics engineering teams, requiring both technical expertise and cross-functional collaboration skills. The role demands strong experience in SQL, programming languages like Python or Java, and extensive knowledge of ETL processes and dimensional data modeling.

This is an advanced position offering competitive compensation ($180,000-$267,000 base salary) plus bonus, equity, and comprehensive benefits. The role is based in Mountain View, CA, and requires 10 years of coding experience and 8 years of data pipeline design experience.

Key responsibilities include building problem-solving data marts, developing ETL processes, creating data logging frameworks, and ensuring data integrity. The position offers the opportunity to work on significant data infrastructure projects while influencing product and cross-functional teams to drive impact.

Google offers an inclusive work environment, comprehensive benefits, and the chance to work on cutting-edge data engineering challenges at scale. The role combines technical depth with strategic thinking, making it ideal for experienced data engineers looking to make an impact at a leading tech company.