AI Data Engineer (Student) — Build Scalable Data Pipelines

McKinsey; Atlanta (GA); On-site; USD 122,000 - 125,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits

Job summary

McKinsey & Company is seeking a talented engineering student to help build scalable data foundations for AI systems. You will design and maintain robust data pipelines, ensure secure environments, and prepare data for AI-driven solutions while collaborating with diverse teams and clients.

You'll work across QuantumBlack teams to accelerate AI adoption and deliver high-impact outcomes, with opportunities to grow as a technologist in a fast-paced environment.

Qualifications

• Pursuing a Bachelor's or Master's in an engineering discipline with graduation Dec 2026–Aug 2027.
• Experience in data-focused roles (internships or projects OK).
• Strong coding skills in Python and SQL with clear, documented code.
• Familiarity with data platforms and cloud services is preferred.

Responsibilities

• Build foundational data infrastructure for AI applications and LLMs.
• Design scalable data pipelines and manage secure data environments.
• Collaborate with cross-functional teams and clients on data solutions.

Skills

Python

SQL

Data engineering

Git

Communication

Java/Scala

Education

Engineering degree (Bachelor's or Master's)

Data/Computer Science coursework

Tools

Databricks

Snowflake

BigQuery

Pandas

Spark

dbt

LangChain

Job description

McKinsey & Company is seeking a talented engineering student to help build scalable data foundations for AI systems. You will design and maintain robust data pipelines, ensure secure environments, and prepare data for AI-driven solutions while collaborating with diverse teams and clients.

You'll work across QuantumBlack teams to accelerate AI adoption and deliver high-impact outcomes, with opportunities to grow as a technologist in a fast-paced environment.