Senior Data & Analytics Engineer — Flexible Impactful Data

AgileEngine, LLC.; Metropolitana; Presencial; COP 120.000.000 - 200.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD‑based compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. in Colombia is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision‑making in the media and entertainment industry.

You will work with Snowflake, dbt Cloud, GitHub, VS Code, and Python to deliver robust data features, pipelines, and consumption‑ready data, collaborating with product managers and analysts.

Formación

• 4+ years of experience in data engineering or analytics engineering in production environments, preferably in media/entertainment.
• Expert-level Python and SQL skills; strong hands-on experience with dbt Cloud.
• Proficiency with Snowflake and development tools like GitHub and VS Code.

Responsabilidades

• Deliver robust data features and pipelines within project teams for fast-paced, business-facing verticals.
• Translate complex business use cases into robust data models and data pipelines with SQL and Python.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Transition project documentation into dbt catalogs and leverage AI tools in the workflow.
• Collaborate with product managers, data visualization leads, and analysts to deliver consumption-ready data.

Conocimientos

Python

SQL

Data modeling

Data pipelines

Herramientas

dbt Cloud

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine, LLC. in Colombia is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision‑making in the media and entertainment industry.

You will work with Snowflake, dbt Cloud, GitHub, VS Code, and Python to deliver robust data features, pipelines, and consumption‑ready data, collaborating with product managers and analysts.