Senior Data & Analytics Engineer - Remote & Flexible Hours

AgileEngine, LLC.; Rosarito; Presencial; MXN 1.622.000 - 2.343.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD comp

Exciting projects

Flextime & remote

Descripción de la vacante

AgileEngine in Playas de Rosarito, Baja California, seeks a Senior Data and Analytics Engineer to build data pipelines and models powering business intelligence.

You will use Snowflake, dbt Cloud, Python, SQL, GitHub, and VS Code to translate complex use cases into data models and join external platform data with internal contracts.

Collaborate with product managers and analysts in a fast-paced, light-process environment and leverage AI tools to enhance data quality and insights.

Formación

• 4+ years in data/analytics engineering in production for media/entertainment.
• Expert-level Python and SQL; strong dbt Cloud experience preferred.
• Proficient with Snowflake; experience with GitHub and VS Code.
• Thrives in a light-process environment; strong cross-functional collaboration.
• Excellent communication with non-technical stakeholders and product teams.

Responsabilidades

• Build data pipelines and features for fast-paced, business-facing areas.
• Translate complex use cases into robust data models and join external data with internal contracts.
• Develop scalable pipelines using Snowflake, dbt Cloud, and Python.
• Leverage AI tools in the workflow and improve governance and tooling.
• Collaborate with product managers and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

dbt Cloud

Snowflake

GitHub

VS Code

Data pipelines

Analytics engineering

Herramientas

Snowflake

GitHub

VS Code

dbt Cloud

Descripción del empleo

AgileEngine in Playas de Rosarito, Baja California, seeks a Senior Data and Analytics Engineer to build data pipelines and models powering business intelligence.

You will use Snowflake, dbt Cloud, Python, SQL, GitHub, and VS Code to translate complex use cases into data models and join external platform data with internal contracts.

Collaborate with product managers and analysts in a fast-paced, light-process environment and leverage AI tools to enhance data quality and insights.