Senior Data & Analytics Engineer | Flexible Pipelines

AgileEngine, LLC.; Córdoba; Presencial; ARS 137.157.000 - 198.116.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data and Analytics Engineer to design and deliver data pipelines and analytical models that support business intelligence in the media and entertainment sector.

You will translate business use cases into robust data models using dbt Cloud and SQL, build scalable pipelines on Snowflake, and collaborate with product managers and analysts to provide consumption-ready data.

Formación

• 4+ years of experience in data engineering or analytics engineering in production environments.
• Expert-level Python and SQL skills; extensive hands-on experience with dbt Cloud.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Thrive in a process-light environment that acts like a data science team.
• Strong communication to collaborate with non-technical stakeholders during sprint planning.

Responsabilidades

• Deliver robust data features and pipelines for business-facing projects.
• Translate complex use cases into robust data models using dbt and SQL.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Document project data lineage, transform logic, and data quality checks in catalogs.
• Collaborate with product managers and analysts to deliver consumable, governance-ready data.

Conocimientos

Python

SQL

Data engineering

Analytics engineering

Herramientas

Snowflake

dbt Cloud

GitHub

VS Code

Python

Descripción del empleo

AgileEngine is seeking a Senior Data and Analytics Engineer to design and deliver data pipelines and analytical models that support business intelligence in the media and entertainment sector.

You will translate business use cases into robust data models using dbt Cloud and SQL, build scalable pipelines on Snowflake, and collaborate with product managers and analysts to provide consumption-ready data.