Data Engineer, Play Data Science and Analytics

Google is seeking a Data Engineer to join their Play Data Science and Analytics team. This role combines technical expertise in data engineering with business impact, focusing on building and maintaining data infrastructure that powers critical analytics and decision-making. The position requires deep experience in SQL, programming languages like Python or Java, and extensive knowledge of ETL processes and data modeling.

The role involves working closely with various Data Science and Analytics teams to design and implement data marts that accelerate analytics capabilities. You'll be responsible for ensuring data quality, availability, and usability while building robust data pipelines and establishing governance processes. The position offers competitive compensation including a base salary range of $180,000-$267,000 plus bonus, equity, and comprehensive benefits.

This is an excellent opportunity for an experienced data professional who wants to make an impact at scale, working with cutting-edge technology and data infrastructure. You'll be part of Google's renowned engineering culture, collaborating with talented teams across the organization to drive data-driven decision making. The role requires both technical depth in data engineering and the ability to partner effectively with stakeholders across functions.

The ideal candidate will bring expertise in cloud-based services, data warehousing, real-time streaming, and modern data processing technologies. You'll have the chance to work on complex data challenges while contributing to Google's mission of organizing the world's information. The position offers growth opportunities and the chance to work on projects that impact millions of users worldwide.