AI Data Engineer Intern: Build Scalable AI Pipelines

McKinsey; Town of Boston (NY); On-site; USD 108,000 - 132,000; Full time

Job summary

McKinsey & Company offers a 10-week Data Engineering internship in the US (Atlanta, Boston, Chicago or New York) for Summer 2027. You will help design scalable data pipelines and data infrastructure for AI applications, collaborating with Data Scientists, ML Engineers, and client teams.

Eligible candidates are pursuing an engineering degree with graduation between December 2027 and August 2028, with Python and SQL skills, and familiarity with Databricks, Snowflake, BigQuery, and cloud platforms.

Qualifications

• Currently pursuing an engineering degree with a Dec 2027–Aug 2028 graduation window.
• Experience in data-focused roles, including internships or academic projects.
• Strong Python and SQL with growing software engineering practices.

Responsibilities

• Assist design and delivery of scalable data pipelines for AI systems.
• Collaborate with Data Scientists, ML Engineers, and client teams on data foundations.

Skills

Python

SQL

Time management

English communication

Agentic AI

Generative AI basics

Cross-functional collaboration

Education

Upcoming engineering degree graduation Dec 2027–Aug 2028

Tools

Databricks

Snowflake

BigQuery

AWS

Azure

GCP

Pandas

dbt

LangChain

Git

McKinsey Tech Stack

Job description

McKinsey & Company offers a 10-week Data Engineering internship in the US (Atlanta, Boston, Chicago or New York) for Summer 2027. You will help design scalable data pipelines and data infrastructure for AI applications, collaborating with Data Scientists, ML Engineers, and client teams.

Eligible candidates are pursuing an engineering degree with graduation between December 2027 and August 2028, with Python and SQL skills, and familiarity with Databricks, Snowflake, BigQuery, and cloud platforms.