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About the Role
YouTube's Intelligence and Scaled Insights function supports decision-making by analyzing content risks across social media, ensuring a safe platform for users. The Scaled Insights pillar uses AI to build technology and tools, while the Intelligence Desk identifies and investigates content risks to drive mitigations. This role offers a career at the intersection of technology, online safety, and real-world impact, contributing to an exceptional intelligence function.
Responsibilities
- Design, build, and optimize robust, production-grade data architecture and ETL pipelines.
- Serve as the technical steward for the team's data platforms, ensuring maximum data reliability, integrity, and scalable governance across complex datasets.
- Partner closely with stakeholders to translate analytical needs into structured data models, pipelines, and self-serve services.
- Design, implement, and evaluate intelligent, agentic analytics systems leveraging Large Language Models (LLMs) to automate insight generation, anomaly detection, and operational workflows.
- Architect and maintain internal tools, frameworks, and foundational tables that enable self-serve analytics.
- Streamline complex SQL queries and scale data integrations into automated, repeatable workflows.
- Own ambiguous, non-routine technical challenges end-to-end.
- Identify infrastructure vulnerabilities, process unstructured data volumes, and apply advanced data modeling frameworks with minimal supervision.
Requirements
- 7 years of experience coding in Python and SQL.
- 7 years of experience designing, deploying, and managing data pipelines, including schema management, data modeling, exploratory querying, and data workflows.
Skills
- Python
- SQL
- Data pipelines
- Schema management
- Data modeling
- Exploratory querying
- Data workflows
- Data warehousing
- Big data technologies
- Hadoop
- Spark
- R
- Translating business requirements to BI solutions
- Explaining technical analysis to stakeholders
- Large Language Models (LLMs)
Experience Level
- 7 years of experience
Education Level
- Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
Salary/Compensations
- US: $141000 - $205000 (USD) + 15% bonus target + equity + benefits
Benefits
- 15% bonus target
- equity
- benefits
About the Company
- At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories.
- We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process.
- Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world.
- We explore new ideas, solve real problems, and have fun — and we do it all together.