AI Data Engineer: Scalable Data Pipelines for AI

UCI-OC Alliance; Baxter (TN); On-site; USD 120,000 - 170,000; Full time

Job summary

McKinsey & Company’s QuantumBlack unit is seeking an AI Data Engineer to build scalable data infrastructure powering AI applications. You will design data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll gain experience across agentic AI, generative AI, and machine learning, contributing to next-generation AI capabilities and enterprise solutions within a global data engineering community.

Qualifications

• Upcoming graduation between December 2026-August 2027 with a degree in an engineering discipline.
• Experience in a data-focused role (internships, academic projects acceptable).
• Ability to write clean, well-documented code in Python and SQL.
• Interest in or exposure to data engineering in Agentic AI, Generative AI, ML, or BI across data formats and processing methods.

Responsibilities

• Design and maintain scalable data pipelines and data environments for AI applications.
• Collaborate with data scientists, ML engineers, and clients to deliver AI solutions.
• Translate hypotheses into engineered features and support R&D initiatives in AI capabilities.
• Build robust, scalable data foundations for production-ready AI systems.

Skills

Python

SQL

Databricks

Snowflake

BigQuery

AWS

Azure

GCP

Pandas

Spark

LangChain

CI/CD

Git

MLOps

Education

Engineering degree

Tools

Databricks

Snowflake

BigQuery

PostgreSQL

Spark

Job description

McKinsey & Company’s QuantumBlack unit is seeking an AI Data Engineer to build scalable data infrastructure powering AI applications. You will design data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll gain experience across agentic AI, generative AI, and machine learning, contributing to next-generation AI capabilities and enterprise solutions within a global data engineering community.