Data Engineer: Build Scalable AI Data Pipelines

McKinsey & Company, Inc.; Monterrey; Presencial; MXN 1.014.000 - 1.521.000; Jornada completa

Descripción de la vacante

McKinsey & Company in Monterrey is seeking a data engineer to build foundational data infrastructure powering AI applications, design scalable data pipelines, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll work with data scientists and ML engineers across industries to translate hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on next-generation AI capabilities in a

Formación

• Degree in CS/engineering or equivalent experience.
• 2+ years in a data-focused role (internships/projects).
• Proficiency in Python and SQL.
• Exposure to data engineering in AI/ML contexts and data formats.
• Experience with data platforms and cloud services; strong communication skills.

Responsabilidades

• Build foundational data infrastructure powering AI applications.
• Design and maintain scalable data pipelines and secure environments.
• Collaborate with Data Scientists, ML Engineers, and clients.
• Prepare data for AI-driven systems and contribute to R&D initiatives.

Conocimientos

Python

SQL

Data engineering

English/Spanish communication

Educación

Degree in Computer Science/Engineering

2+ years data-focused experience

Herramientas

Databricks

Snowflake

BigQuery

Pandas

Spark

dbt

LangChain

Git

Descripción del empleo

McKinsey & Company in Monterrey is seeking a data engineer to build foundational data infrastructure powering AI applications, design scalable data pipelines, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients.

You’ll work with data scientists and ML engineers across industries to translate hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on next-generation AI capabilities in a