The Staff Data Engineer role at Google focuses on driving Search product excellence through data insights. The team aims to build scalable data foundations that support critical decision-making and enhance user experience. This position involves solving complex engineering challenges while ensuring data quality and accessibility. The engineer will work closely with product data scientists and engineering leads to bridge the gap between raw data and actionable insights.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development, including large-scale data systems or information retrieval.
• Experience with programming in C++, Java, Python, or Go.
• Experience designing and maintaining data pipelines.

• Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.
• Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.
• Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.
• Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.
• Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.