Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Company: DeepMind

Location: New York, NY

Salary: $207,000 - $300,000 a year

Type: Full-time

Posted: 2026-09-29

About this role

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: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.

### Minimum qualifications:

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

### Preferred qualifications:

  • Experience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure.
  • Experience developing, debugging, and supporting large-scale data pipelines.
  • Experience with distributed data processing frameworks and workflow orchestration tools.
  • Experience in Go/C++.
  • Experience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer.
  • Ability to address daily business data requirements, ensure that development obstacles are cleared to maintain the Gemini App's changing growth.

## About the job

As a part of the Gemini Apps Data Engineering team, you will architect and operate the data pipelines that deliver critical telemetry across all Gemini surfaces. You will combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in...

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