Senior Data & Analytics Engineer | Remote & Flexible Hours

AgileEngine, LLC.; San Carlos de Bariloche; Presencial; ARS 182.771.000 - 274.156.000; 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 BARILOCHE, Argentina seeks a Senior Data and Analytics Engineer to design and build data pipelines and analytics models that support business intelligence and strategic decisions in the media and entertainment industry.

The role emphasizes creating robust data features with Snowflake, dbt Cloud, Python, and SQL, while collaborating with product managers and analytics leads to drive data-driven insights across fast-paced domains.

Formación

• 4+ years in data/analytics engineering in production environments.
• Expert-level Python and SQL skills.
• Proficient with Snowflake and modern cloud data tools like GitHub and VS Code.
• Thrives in a process-light environment similar to a data science team.
• Strong communication with non-technical stakeholders and product managers.

Responsabilidades

• Deliver robust data features and pipelines within project teams for fast-paced verticals like distribution.
• Translate complex business use cases into robust data models with SQL and dbt.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code and Python.
• Leverage AI tools (GitHub Copilot, Snowflake Cortex) in development workflows.
• Collaborate with product managers and analysts to deliver consumption-ready data and ensure quality.

Conocimientos

Python

SQL

Data engineering

Cloud data platforms

Snowflake

GitHub

VS Code

Communication

Herramientas

dbt Cloud

Descripción del empleo

AgileEngine, LLC. in BARILOCHE, Argentina seeks a Senior Data and Analytics Engineer to design and build data pipelines and analytics models that support business intelligence and strategic decisions in the media and entertainment industry.

The role emphasizes creating robust data features with Snowflake, dbt Cloud, Python, and SQL, while collaborating with product managers and analytics leads to drive data-driven insights across fast-paced domains.