AI Data Engineer: Build Scalable Pipelines for Agentic AI
Summary
Student data engineering role at McKinsey & Company in Toronto: build and maintain scalable data pipelines and infrastructure powering AI applications, collaborating with data scientists, ML engineers and clients using Databricks, Snowflake and cloud platforms.
McKinsey & Company, Inc. in Toronto is seeking a student in an engineering program to join our data engineering team.
You will build scalable data infrastructure powering AI applications, design and maintain data pipelines, and collaborate with data scientists, ML engineers, and clients to deliver production-ready data solutions. This role emphasizes hands-on learning across Databricks, Snowflake, and cloud platforms, with mentorship and opportunities to contribute to R&D in agentic AI.