Data Engineer for Scalable AI Data Pipelines

QuantumBlack, AI by McKinsey

Monterrey

Presencial

MXN 350.000 - 550.000

Jornada completa

14 días+

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World-class benefits

Descripción de la vacante

QuantumBlack, AI by McKinsey in Monterrey recruits a Data Engineer to build foundational data infrastructure powering cutting-edge AI apps. You will design and maintain scalable data pipelines and secure data environments while collaborating with cross-functional teams.

You will translate hypotheses into engineered features, prepare data for AI solutions, and contribute to R&D focused on agentic and autonomous AI capabilities.

Formación

  • Degree in Computer Science/Engineering or equivalent.
  • 2+ years’ experience in a data-focused role.
  • Strong Python and SQL coding skills with clear documentation.
  • Interest in Agentic AI, Generative AI, ML, or BI across data types.
  • Familiarity with Databricks, Snowflake, BigQuery, PostgreSQL, and cloud platforms.
  • Experience with Git, DevOps/MLOps concepts and CI/CD.
  • Strong time management in autonomous work environments.
  • Willingness to learn quickly across projects.
  • Experience using coding agents is a plus.
  • Strong English and Spanish communication.

Responsabilidades

  • Build foundational data infrastructure powering AI applications.
  • Design and maintain scalable data pipelines and secure environments.
  • Prepare data for AI-driven systems and collaborate with cross-functional teams.
  • Translate hypotheses into engineered features and contribute to R&D initiatives.
  • Collaborate with QuantumBlack and QuantumBlack Labs to develop AI capabilities.
  • Work with clients across industries to deliver measurable business value.

Conocimientos

Python
SQL
Data engineering
Agentic AI
Databricks
Snowflake
BigQuery
Pandas
Spark
LangChain
Git

Educación

Degree in Computer Science/Engineering

Herramientas

Databricks
Snowflake
BigQuery
PostgreSQL
Pandas
Spark
dbt
LangChain

Descripción del empleo

QuantumBlack, AI by McKinsey in Monterrey recruits a Data Engineer to build foundational data infrastructure powering cutting-edge AI apps. You will design and maintain scalable data pipelines and secure data environments while collaborating with cross-functional teams.

You will translate hypotheses into engineered features, prepare data for AI solutions, and contribute to R&D focused on agentic and autonomous AI capabilities.

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