Senior Data Engineer: AI Cloud Data Pipelines

Google

Sunnyvale (CA)

On-site

USD 174,000 - 252,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Paid time off
Sick time
Maternity leave
Baby bonding leave
Holidays

Job summary

Google is hiring a Senior Software Engineer for Data Engineering in Cloud AI. The role focuses on building scalable data pipelines and real-time metrics, turning raw log signals into actionable insights for AI investment measurement and feature rollouts.

You will work on Gemini Enterprise data infrastructure, pipeline reliability, and governance, partnering with engineers, product managers, and data scientists to push AI capabilities across product teams.

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.

Responsibilities

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

Skills

Software development
Testing & maintenance
Software architecture
Technical leadership

Education

Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science

Job description

Google is hiring a Senior Software Engineer for Data Engineering in Cloud AI. The role focuses on building scalable data pipelines and real-time metrics, turning raw log signals into actionable insights for AI investment measurement and feature rollouts.

You will work on Gemini Enterprise data infrastructure, pipeline reliability, and governance, partnering with engineers, product managers, and data scientists to push AI capabilities across product teams.

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