Staff Software Engineer, Gemini App, Data Engineering, DeepMind

Benefits 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 Locations 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 executives and software engineers. 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. In this role, you will provide the technical leadership necessary to scale our infrastructure, architect durable data products, and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale. Responsibilities Work closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse. Architect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops. Own data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets. Mentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback. Drive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs. US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits Equal Employment Opportunity Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google DeepMind