Staff Software Engineer, Gemini App, Data Engineering, DeepMind
Company: DeepMind
Location: New York, NY
Salary: $207,000 - $301,000 a year
Type: Full-time
Posted: 2026-07-15
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
The Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformativ...