Scaled Insights Data Engineer

Google LLC; New York (NY); On-site; USD 141,000 - 205,000; Full time

Job summary

Google LLC's YouTube Intelligence and Scaled Insights group is seeking a Scaled Insights Analyst to bridge information needs with technical data products and scalable analytics across trust and safety. You will develop data pipelines and governance while collaborating with analysts and partners to deliver measurable insights for safer, more informed decisions.

You will leverage Google’s AI stack to build bespoke analytics capabilities, build scalable data workflows, and work across teams to

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.
• 7 years of experience coding in Python and SQL.
• 7 years of experience designing, deploying, and managing data pipelines.

Responsibilities

• Design, build, and optimize robust, production‑grade data architecture and ETL pipelines.
• Partner with stakeholders to translate product/threat‑intelligence needs into structured data models and pipelines.
• Design and evaluate intelligent analytics systems leveraging LLMs to automate deep insight generation and anomaly detection.
• Architect and maintain internal tools and foundational tables to enable self‑serve analytics and scalable data integrations.
• Own non‑routine technical challenges end‑to‑end and mitigate infrastructure vulnerabilities in data workflows.

Skills

Python

SQL

Data pipelines

Education

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience

Job description

Google LLC's YouTube Intelligence and Scaled Insights group is seeking a Scaled Insights Analyst to bridge information needs with technical data products and scalable analytics across trust and safety. You will develop data pipelines and governance while collaborating with analysts and partners to deliver measurable insights for safer, more informed decisions.

You will leverage Google’s AI stack to build bespoke analytics capabilities, build scalable data workflows, and work across teams to