Staff Data Engineer, Search & Data Science - Scale

Google; United States; On-site; USD 207,000 - 301,000; Full time

Job summary

Google is seeking a Staff Data Engineer focused on Data Engineering for the Search data platform. You will build scalable data foundations enabling headroom analysis, experiment analysis, and trade-offs between metrics such as richness of experience and search latency.

Work spans end-to-end to deliver data-driven product decisions that impact billions of users. Join a team driving data insights for strategic investment decisions and topline metrics, while collaborating with Product Data

Qualifications

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

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 designs support massive scale and low-latency consumption.
• Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging data to insights.
• Act as a primary technical advisor to Search leadership, turning product goals into solid architectural decisions.

Skills

C++

Java

Python

Go

Education

Bachelor's degree in Computer Science or related field

Job description

Google is seeking a Staff Data Engineer focused on Data Engineering for the Search data platform. You will build scalable data foundations enabling headroom analysis, experiment analysis, and trade-offs between metrics such as richness of experience and search latency.

Work spans end-to-end to deliver data-driven product decisions that impact billions of users. Join a team driving data insights for strategic investment decisions and topline metrics, while collaborating with Product Data