Staff Data Engineer, Search, Data Science

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

Staff Data Engineer, Search, Data Science

Note: 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 systems.

In 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.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.