Senior Data Engineer - Remote & AI-Ready Platform

AgileEngine, LLC.; León; A distancia; MXN 750.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative in Snowflake, SQL, and Python. You will build semantic structures, clean and transform customer datasets, and develop AI-ready data models while collaborating with business stakeholders across functions.

The role requires strong SQL and Python skills, experience with cloud data ecosystems, and a commitment to thorough documentation and scalable data models.

Formación

• 4+ years of experience writing complex, optimized SQL with window functions.
• Proficient Python for data manipulation, automation, and data quality checks.
• Hands-on experience with cloud data ecosystems (AWS, Snowflake, GCP, or Azure).
• Strong ability to translate business needs into technical specs and document them clearly.

Responsabilidades

• Model CDP data in Snowflake to feed the Customer Data Platform.
• Develop Snowflake views, semantic models, and metadata for AI readiness.
• Prepare datasets for retail analytics and initiatives; collaborate with stakeholders.
• Write production-grade SQL and Python for data wrangling and automation.
• Document data models, dictionaries, and maintain code repositories.

Conocimientos

SQL

Python

Cloud platforms

Stakeholder communication

Documentation

Herramientas

Snowflake

dbt

Apache Airflow

AWS S3

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to partner with an internal data team on a Customer Data Platform initiative in Snowflake, SQL, and Python. You will build semantic structures, clean and transform customer datasets, and develop AI-ready data models while collaborating with business stakeholders across functions.

The role requires strong SQL and Python skills, experience with cloud data ecosystems, and a commitment to thorough documentation and scalable data models.