Staff Software Engineer, YouTube Data Science
at Google
Location
San Bruno, CA, USA
Compensation
$207k–$300k USD
Type
full time
Posted
1 weeks ago
Tailor your résumé to this role in 30 seconds.
Free account · ATS keyword check · per-job bullet rewrite by Claude.
Job description
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
You will use tools (e.g., Gemini) to support data-driven initiatives.
Responsibilities
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Manage project priorities, deadlines, and deliverables on high-impact projects.
- Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
- Provide engineering skills to support Data Science projects.
- Work with the YTDS team and our stakeholders to unblock our data engineering needs, ensuring that the data powering our analysis meets requirements.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in Python and SQL.
- 5 years of experience testing, and launching software products.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Experience in one or more of the following skills: Logging, Data Analytics, Technical Infrastructure, Big Data, Pipeline Management, Generative AI Agent, coLaboratory.