info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA. Minimum qualifications: 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. Preferred qualifications: Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality). Track record of leading organization-wide technical debt reduction or metrics convergence projects. Ability to navigate a matrixed organization and drive alignment across cross-functional teams. About the job Our goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions and conduct research on topline and operational metrics to drive data-driven choices. As a Staff Software Engineer focusing on Data Engineering, you will build the scalable data foundations that empower this mission. You will work end-to-end to help build products that users love, enabling headroom analysis, experiment analysis, and technical trade-offs between competing metrics (e.g., richness of experience vs. search latency) through machine-consumable data systemsIn Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities 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.