Data Engineer, Play Data Science and Analytics

Google Play, serving over four billion users worldwide, is seeking a Data Engineer for their Play Games Data Science and Analytics (DSA) team. This role combines technical expertise with strategic insight to support Play's loyalty-focused products including Play Points and Play Pass. The position requires deep understanding of data science requirements and expertise in data mart architecture and pipeline implementation.

The role involves working closely with various DSA teams and upstream analytics engineering teams to design and build data marts that will empower and accelerate the DSA team and its stakeholders. The successful candidate will be responsible for conceptualizing and implementing problem-solving data marts, developing robust ETL processes, and establishing governance frameworks to ensure data quality and availability.

Key responsibilities include designing data pipelines, validating data integrity, and collaborating with cross-functional teams to drive impact. The position offers competitive compensation ($180,000-$267,000 + bonus + equity + benefits) and the opportunity to work at Google's Mountain View location.

The ideal candidate will have 10+ years of coding experience with SQL or programming languages, strong background in ETL and dimensional data modeling, and expertise in cloud-based services for data engineering. This role is perfect for someone who combines technical proficiency with strategic thinking and wants to impact billions of users through Google Play's platform.

Working at Google provides access to cutting-edge technology, collaboration with talented professionals, and the opportunity to solve complex data challenges at scale. The role offers comprehensive benefits, professional development opportunities, and the chance to work on products that impact users globally.