Senior Data & Analytics Engineer - Remote & Flexible Hours

Agileengine; León; Híbrido; MXN 2.148.000 - 3.043.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to sit with business stakeholders and translate needs into data transformation work using dbt and SQL. You will build robust pipelines within fast-paced teams and collaborate across product, analytics, and leadership.

We value expert Python/SQL skills, dbt Cloud experience, Snowflake proficiency, and a bias for practical, scalable data solutions in a modern cloud environment.

Formación

• 4+ years of experience in data engineering or analytics engineering in a production environment.
• Expert-level Python and SQL skills.
• Extensive hands-on experience building transformation pipelines in dbt Cloud (strongly preferred).
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.

Responsabilidades

• Deliver robust data features and pipelines within project teams, focusing on fast-paced, business-facing verticals.
• Translate complex business use cases into robust data models using dbt and SQL.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Transition project documentation from tribal knowledge into dbt catalogs.
• Collaborate with product managers, data visualization leads, and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Herramientas

Snowflake

GitHub

VS Code

dbt Cloud

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to sit with business stakeholders and translate needs into data transformation work using dbt and SQL. You will build robust pipelines within fast-paced teams and collaborate across product, analytics, and leadership.

We value expert Python/SQL skills, dbt Cloud experience, Snowflake proficiency, and a bias for practical, scalable data solutions in a modern cloud environment.