Staff Data Engineer, Search, Data Science

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google Inc. is looking for a Staff Software Engineer focusing on Data Engineering in Mountain View, CA or New York, NY. This role involves building scalable data foundations and working on innovative projects to enhance the Search product. The ideal candidate has a degree in Computer Science and extensive experience in software development and data systems.

Responsibilities include owning the data engineering strategy, designing multi-stage data products, and collaborating with various teams to transform goals into architectural decisions. Competitive compensation package includes a base salary ranging from $207,000 to $300,000 plus bonuses, equity, and benefits.

Qualifications

• 8 years of experience in software development, including large-scale data systems.
• Experience designing and maintaining data pipelines.
• Understanding of the Search product landscape and its unique data issues.

Responsibilities

• Own the data engineering strategy for high-stakes Search initiatives.
• Architect organization-wide initiatives for metrics convergence.
• Integrate core data systems with Google’s backend infrastructure.
• Collaborate with Product Data Scientists and Engineering leads.
• Act as a primary technical advisor to Search leadership.

Skills

Software development

Data engineering

C++

Java

Python

Go

Education

Bachelor’s degree in Computer Science or a related field

Job description

Mountain View, CA, USA; New York, NY, USA

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.

• 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.

The US base salary range for this full‑time position is $207,000‑$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or 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.

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.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.