Senior Data & Analytics Engineer — Remote, Flexible, Growth

Agileengine, Llc.; Rosario; Híbrido; ARS 182.485.000 - 273.727.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible schedule: remote and office

Mentorship & growth roadmaps

USD-based compensation

Fortune 500 projects

Descripción de la vacante

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

You will translate complex use cases into robust data models with dbt and SQL, integrate revenue data from platforms like YouTube and Amazon, and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, and Python. Strong English and collaboration with stakeholders are required.

Formación

• 4+ years in data engineering or analytics engineering within a production environment.
• Expert-level Python and SQL skills.
• Strong proficiency with Snowflake and development tools like GitHub and VS Code.
• Thrives in a process-light environment akin 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, business-facing verticals.
• Translate business use cases into data models using dbt and SQL, aggregating revenue and performance data from platforms like Tubi, Roku, YouTube, and Amazon channels.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python; move tribal knowledge to dbt catalogs.
• Leverage AI tools (GitHub Copilot, Microsoft Copilot, Snowflake Cortex) to improve governance and tooling adoption.
• Collaborate with product managers and analysts to deliver consumption-ready data and ensure quality standards.

Conocimientos

Python

SQL

Snowflake

dbt Cloud

GitHub

VS Code

English (Upper-intermediate)

Herramientas

dbt Cloud

Snowflake Cortex

GitHub Copilot

Descripción del empleo

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

You will translate complex use cases into robust data models with dbt and SQL, integrate revenue data from platforms like YouTube and Amazon, and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, and Python. Strong English and collaboration with stakeholders are required.