Senior Data & Analytics Engineer - Remote, Flexible Hours

Agileengine; Monterrey; Híbrido; MXN 1.611.000 - 2.327.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Project variety

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to partner with business stakeholders in Monterrey, Mexico. You will translate requirements into robust data transformations using dbt and SQL, deliver end-to-end data pipelines, and collaborate with product managers and analysts to provide consumption-ready data.

The role emphasizes building scalable pipelines on Snowflake, dbt Cloud, GitHub, VS Code, and Python, with a bias toward rapid prioritization in a flexible, cross-functional

Formación

• 4+ years of experience in data engineering or analytics engineering in production.
• Expert-level Python and SQL skills.
• Extensive hands-on experience building transformation pipelines in dbt Cloud.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Thrives in a process-light environment that operates like a data science team.
• Strong communication skills to collaborate with non-technical stakeholders.

Responsabilidades

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

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Communication

Herramientas

GitHub

VS Code

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to partner with business stakeholders in Monterrey, Mexico. You will translate requirements into robust data transformations using dbt and SQL, deliver end-to-end data pipelines, and collaborate with product managers and analysts to provide consumption-ready data.

The role emphasizes building scalable pipelines on Snowflake, dbt Cloud, GitHub, VS Code, and Python, with a bias toward rapid prioritization in a flexible, cross-functional