Senior Data & Analytics Engineer - Remote & Snowflake/dbt

AgileEngine, LLC.; Ciudad de México; Presencial; MXN 2.121.000 - 3.181.000; 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. invites a Senior Data and Analytics Engineer to translate business needs into robust data transformations using dbt and SQL. You will work with stakeholders to design data models, build scalable pipelines, and leverage modern tools like Snowflake, dbt Cloud, GitHub, and VS Code.

You will collaborate with product managers and analysts to deliver consumable data and insights, while embracing AI-assisted development within a governance framework.

Formación

• 4+ years of experience in data engineering or analytics engineering in production.
• Expert-level Python and SQL skills.
• Hands-on experience with dbt Cloud.
• Strong cloud data platform experience with Snowflake.
• Proven ability to thrive in a lightweight, collaborative data science-like environment.
• Strong communication skills to collaborate with non-technical stakeholders and product managers.

Responsabilidades

• Deliver robust data features and pipelines for business-facing verticals.
• Translate complex business use cases into data models using dbt and SQL.
• Build scalable pipelines with Snowflake, dbt Cloud, GitHub, VS Code.
• Leverage AI tools (GitHub Copilot, Snowflake Cortex) in the workflow.
• Collaborate with product managers and analysts to deliver consumable data.

Conocimientos

Python

SQL

Data engineering

Communication

Herramientas

dbt Cloud

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine, LLC. invites a Senior Data and Analytics Engineer to translate business needs into robust data transformations using dbt and SQL. You will work with stakeholders to design data models, build scalable pipelines, and leverage modern tools like Snowflake, dbt Cloud, GitHub, and VS Code.

You will collaborate with product managers and analysts to deliver consumable data and insights, while embracing AI-assisted development within a governance framework.