Senior Software Engineer, Data Engineering, Cloud AI

Google; United States; On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days/year

Job summary

Google is seeking a Senior Data Engineer for the Cloud AI Data Engineering team in the United States. You will design and operate scalable data pipelines, support AI-driven analytics, and collaborate with cross-functional teams to deliver robust data infrastructure.

The role emphasizes building high-performance storage, ensuring data quality, and optimizing pipelines for efficiency, cost, and compliance. This position is based in Sunnyvale, CA or Kirkland, WA with a focus on mid-level experience

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Responsibilities

• Design, build, and maintain scalable data pipelines for Gemini Enterprise.
• Develop high-performance data warehousing and storage for AI and analytics.
• Implement data quality monitoring, alerting, and governance for privacy and security.
• Collaborate with SWEs, PMs, and Data Scientists to deliver robust infra for features.
• Optimize pipelines for cost, latency, and resource usage; apply best practices.

Skills

Software development

Testing

Architecture

Mentoring

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS (preferred)

Job description

Senior Software Engineer, Data Engineering, Cloud AI

Corporate Locations: Sunnyvale, CA, USA; Kirkland, WA, USA

Experience Level: Mid

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Benefits Overview

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US-based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred Qualifications

• Master’s degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

About the Job

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team builds the critical data infrastructure, log processing engines, and automated experimentation pipelines that power our executive dashboards and guide product strategy.

As a Senior Data Engineer on this team, you will design robust, compliant pipelines handling massive datasets and transition raw log signals into real-time metrics. You will directly influence how our customers measure their AI investment and how our engineering teams validate their feature rollouts.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

Compensation

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174,000 – $252,000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines to ingest and transform enterprise data into Gemini Enterprise.
• Develop high-performance data warehousing and storage systems optimized for AI models, search capabilities, and analytics.
• Implement data quality monitoring, alerting, and governance to uphold strict integrity, privacy, access controls, and compliance standards.
• Partner with SWEs, PMs, and Data Scientists to deliver robust infrastructure that powers new product features and AI capabilities.
• Optimize pipelines for cost, latency, and resource usage while driving best practices in data modeling, schema design, and orchestration.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’s Applicant and Candidate Privacy Policy.

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.

Locations

Sunnyvale, CA, USA; Kirkland, WA, USA

Experience Level: Mid

Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.