Senior Data & Analytics Engineer — Flexible Hours, Snowflake/dbt

AgileEngine, LLC.; León; Presencial; MXN 376.000 - 450.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in the media and entertainment industry.

We use a modern stack including Snowflake, dbt Cloud, GitHub, VS Code and Python. You will translate complex business use cases into scalable data solutions and collaborate with product managers and analysts to deliver consumption-ready data.

Formación

• 4+ years of experience in data engineering or analytics engineering in a production environment.
• Expert Python and SQL skills, with strong dbt Cloud experience preferred.
• Proficient with Snowflake and development tools like GitHub and VS Code.
• Thrives in a process-light environment and collaborates with stakeholders.
• Excellent communication with product managers and analysts.

Responsabilidades

• Build data pipelines and analytical models to support BI and decision making.
• Translate business use cases into robust data models using dbt and SQL.
• Develop scalable pipelines with Snowflake, dbt Cloud, GitHub, and Python.
• Collaborate with leadership to adopt AI tools within governance guidelines.
• Partner with product managers 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 build data pipelines and analytical models that support business intelligence and strategic decision-making in the media and entertainment industry.

We use a modern stack including Snowflake, dbt Cloud, GitHub, VS Code and Python. You will translate complex business use cases into scalable data solutions and collaborate with product managers and analysts to deliver consumption-ready data.