Data Engineer

What we do:

• Zefr is the leader in AI-powered content classifications for brands and advertisers. Zefr’s platform is purpose built for multi-modal content understanding on open platforms like YouTube, TikTok, Meta and Snap, with pre-bid activation and verification solutions. Our products safeguard media and AI investments, while maximizing performance and efficacy on those channels.
• Headquartered in Los Angeles with global offices across New York, Chicago, London, Toronto, Singapore, and more, Zefr is redefining what trust and transparency means for social media in the age of AI.

What you’ll do:

We are looking for a passionate engineer to come collaborate and grow alongside our experienced data engineering team. The team is responsible for a broad range of systems and technologies:

Design, build, and operate complex workflows using Apache Airflow

Design, build, and operate data transformation pipelines in Snowflake and dbt

Design, build, and manage distributed data science inference systems across multi-cloud environments, including AWS and GCP (and more).

What we’re looking for:

• Bachelor’s or Master’s degree in an engineering discipline (BEng/MEng)
• 1-2 years of experience in a technical field
• Competency in Python and SQL
• Knowledge of systems engineering principles and product lifecycle management
• Strong communication and collaboration skills