Data Engineer II — AI & Agentic Systems

McKinsey; Boston (MA); On-site; USD 147,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Global community

Professional development

Job summary

McKinsey is seeking a data engineering professional to build foundational data infrastructure powering AI applications. You will design scalable pipelines, manage secure environments, and collaborate with cross-functional teams and clients.

You will translate hypotheses into engineered features, contribute to R&D for AI capabilities, and help deliver scalable enterprise AI solutions across industries.

Qualifications

• Bachelor's degree in CS/engineering or equivalent experience.
• 2+ years building and deploying data solutions.
• Strong Python and SQL for data engineering and production-grade code.
• Experience building end-to-end data pipelines for Agentic AI, Generative AI, ML, or BI.

Responsibilities

• Build foundational data infrastructure powering AI apps with LLMs and retrieval systems.
• Design and maintain scalable data pipelines and secure environments.
• Collaborate with cross-functional teams and clients to develop AI systems.
• Translate hypotheses into engineered features and contribute to R&D for AI capabilities.
• Work with McKinsey teams to develop scalable enterprise AI solutions.

Skills

Python

SQL

Data pipelines

Agentic AI

Generative AI

Spark

dbt

LangChain

Databricks

Snowflake

BigQuery

AWS / Azure / GCP

Terraform

CI/CD for data workflows

English communication

Education

Bachelor's degree in CS/Engineering

Tools

LangSmith

Langfuse

Ops/tools for data

dbt

LangChain

Terraform

Spark

Kubernetes

Job description

McKinsey is seeking a data engineering professional to build foundational data infrastructure powering AI applications. You will design scalable pipelines, manage secure environments, and collaborate with cross-functional teams and clients.

You will translate hypotheses into engineered features, contribute to R&D for AI capabilities, and help deliver scalable enterprise AI solutions across industries.