Senior Data & Analytics Engineer - Flexible & Remote

AgileEngine, LLC.; Región Centro; Presencial; MXN 1.622.000 - 2.523.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. in Guadalajara, Mexico, is seeking a Senior Data and Analytics Engineer to design and build data pipelines and analytical models that enable business intelligence and strategic decision-making for media and entertainment clients.

You will work with Snowflake, dbt Cloud, Python and SQL to deliver robust data features, collaborate with product managers and analysts, and leverage AI tools to improve governance and adoption of data tooling.

Formación

• 4+ years of experience in data engineering or analytics engineering in production.
• Expert-level Python and SQL skills with extensive dbt Cloud experience.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Thrives in a process-light environment and collaborates with non-technical stakeholders.

Responsabilidades

• Deliver robust data features and pipelines within project teams for business-facing use cases.
• Translate complex use cases into data models using Python, SQL and dbt Cloud.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, and VS Code.
• Collaborate with product managers and analysts to deliver consumption-ready data.
• Adopt and promote AI tools in the data engineering workflow.

Conocimientos

Python

SQL

Herramientas

Snowflake

dbt Cloud

GitHub

VS Code

Descripción del empleo

AgileEngine, LLC. in Guadalajara, Mexico, is seeking a Senior Data and Analytics Engineer to design and build data pipelines and analytical models that enable business intelligence and strategic decision-making for media and entertainment clients.

You will work with Snowflake, dbt Cloud, Python and SQL to deliver robust data features, collaborate with product managers and analysts, and leverage AI tools to improve governance and adoption of data tooling.