Senior Data & Analytics Engineer — Flexible, Snowflake/dbt

AgileEngine, LLC.; Buenos Aires; Presencial; ARS 167.637.000 - 228.596.000; 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. in Buenos Aires is seeking a Senior Data and Analytics Engineer to sit with business stakeholders and translate their needs into data transformation work using dbt and SQL.

You will build and maintain data pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python, collaborating with product managers and analysts to deliver consumption-ready data. This role emphasizes fast-paced collaboration and the use of AI tools within governance settings.

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.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Ability to thrive in a data-science-like, process-light environment.
• Strong communication skills for collaboration with non-technical stakeholders and product managers.

Responsabilidades

• Deliver robust data features and pipelines within project teams in 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.
• Leverage AI tools in the development workflow (e.g., GitHub Copilot, Snowflake Cortex, dbt wizard).
• Collaborate with product managers, data visualization leads, 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, LLC. in Buenos Aires is seeking a Senior Data and Analytics Engineer to sit with business stakeholders and translate their needs into data transformation work using dbt and SQL.

You will build and maintain data pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python, collaborating with product managers and analysts to deliver consumption-ready data. This role emphasizes fast-paced collaboration and the use of AI tools within governance settings.