AI Data Engineer - Build Scalable AI Data Pipelines

McKinsey & Company; Washington (District of Columbia); Hybrid; USD 122,000 - 125,000; Full time

Job summary

McKinsey & Company seeks a data-focused engineer to build scalable data infrastructure powering AI apps and LLM-based solutions. You will design robust data pipelines, manage secure data environments, and collaborate with cross-functional teams and clients to advance next-generation AI capabilities.

You will translate hypotheses into engineered features and work with Data Scientists and ML Engineers to deliver enterprise AI solutions, while growing your technology leadership in a

Qualifications

• Upcoming graduation Dec 2026–Aug 2027 in engineering.
• Experience in a data-focused role (internships acceptable).
• Ability to write clean, well-documented code in Python and SQL.
• Interest in data engineering for Agentic AI, Generative AI, ML, or BI.
• Familiarity with Databricks, Snowflake, BigQuery, PostgreSQL, and cloud platforms.
• Exposure to DevOps/CI/CD concepts and Git.
• Strong time management in autonomous work environment.
• Willingness to learn quickly across projects.
• Experience using coding agents (Cursor/Claude Code/Codex) is a plus.
• Ability to travel up to 80% and regular in-office presence.
• Strong English communication and local office language skills.

Responsibilities

• Design and maintain scalable data pipelines and secure data environments.
• Build foundational data infrastructure powering AI applications and LLMs.
• Collaborate with cross-functional teams and clients on AI systems.
• Translate hypotheses into engineered features for AI solutions.
• Work with Data Scientists and ML Engineers to deliver AI capabilities across industries.

Skills

Data experience

Python

SQL

CI/CD

DevOps basics

English communication

Travel up to 80%

Time management

Learning agility

Coding agents experience

Travel readiness

Education

Upcoming graduation Dec 2026–Aug 2027 in engineering

Tools

Databricks

Snowflake

BigQuery

PostgreSQL

AWS

Azure

GCP

Pandas

Spark

dbt

LangChain

Git

Cursor/Claude Code/Codex

Job description

McKinsey & Company seeks a data-focused engineer to build scalable data infrastructure powering AI apps and LLM-based solutions. You will design robust data pipelines, manage secure data environments, and collaborate with cross-functional teams and clients to advance next-generation AI capabilities.

You will translate hypotheses into engineered features and work with Data Scientists and ML Engineers to deliver enterprise AI solutions, while growing your technology leadership in a