Staff Data Engineer, Gemini Apps — Scale Global Pipelines

Google; Mountain View (CA); Hybrid; USD 207,000 - 301,000; Full time

Benefits offered by this job

Health, dental, vision, life, disability insurance

Retirement Benefits: 401(k) with company match

Paid Time Off: 20 days vacation per year

Job summary

Google in Mountain View, CA, is looking for a Staff Software Engineer for the Gemini Apps Data Engineering team. This role involves architecting and operating data pipelines while providing technical leadership. Candidates should have 8+ years of software development experience with a Bachelor's in Computer Science.

Preferred qualifications include experience with technologies like Apache Spark and a strong technical leadership background. The position offers a competitive salary, bonuses, equity, and comprehensive benefits.

Qualifications

• Bachelor's degree in Computer Science or related technical field.
• 8 years of experience in software development.

Responsibilities

• Work closely with Data Science counterparts to define and drive goals.
• Architect and build scalable batch and real-time data pipelines.
• Own data quality, reliability, and observability end-to-end.
• Mentor and grow other engineers through design and code reviews.
• Drive cross-functional engineering initiatives across teams.

Skills

Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake

Experience developing, debugging, and supporting large-scale data pipelines

Experience with distributed data processing frameworks and workflow orchestration tools

Experience in Go/C++

Technical leadership experience

Education

Bachelor's degree in Computer Science or related technical field

Job description

Google in Mountain View, CA, is looking for a Staff Software Engineer for the Gemini Apps Data Engineering team. This role involves architecting and operating data pipelines while providing technical leadership. Candidates should have 8+ years of software development experience with a Bachelor's in Computer Science.

Preferred qualifications include experience with technologies like Apache Spark and a strong technical leadership background. The position offers a competitive salary, bonuses, equity, and comprehensive benefits.