Senior Data Engineer: AI Pipelines & Cloud Infrastructure

Google; Kirkland (WA); Hybrid; USD 174,000 - 252,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year (69 Seattle)

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google is seeking a Senior Data Engineer to design and manage scalable data pipelines powering Gemini Enterprise and AI initiatives. You will partner with software engineers, product managers, and data scientists to turn raw log signals into real-time metrics and actionable insights.

The role focuses on building high-performance data warehousing and governance practices to ensure data integrity, privacy, and compliance while delivering robust infrastructure for product features and AI

Qualifications

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

Responsibilities

• Design, build, and maintain scalable data pipelines for enterprise data flows.
• Develop high-performance data warehousing and storage systems for AI models and analytics.
• Implement data quality monitoring, alerting, and governance to uphold privacy and security standards.
• Collaborate with SWEs, PMs, and Data Scientists to deliver robust infrastructure for new features.
• Optimize pipelines for cost, latency, and resource usage while applying best practices in data modeling and orchestration.

Skills

5 years of software development

3 years testing/maintaining/launching

1 year design and architecture

Accessible technologies experience

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS or related field

Job description

Google is seeking a Senior Data Engineer to design and manage scalable data pipelines powering Gemini Enterprise and AI initiatives. You will partner with software engineers, product managers, and data scientists to turn raw log signals into real-time metrics and actionable insights.

The role focuses on building high-performance data warehousing and governance practices to ensure data integrity, privacy, and compliance while delivering robust infrastructure for product features and AI