Senior Data Engineer: Marketing Analytics & Etl (Remote)

Aesa (A-Evangelista Sa); Ciudad de Mendoza; A distancia; ARS 1.200.000 - 2.300.000; Jornada completa

Descripción de la vacante

AgileEngine is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features. The role requires solid dbt experience, ingestion and orchestration tools such as Airbyte or Prefect, 3+ years in data or analytics engineering on production pipelines, and strong SQL and Python skills.

English level should be upper-intermediate.

Formación

• 3+ years in data or analytics engineering on production pipelines.
• Solid dbt experience (modeling, tests, macros, incremental models).
• Ingestion and orchestration tools such as Airbyte or Prefect; SQL and Python; dimensional modeling; Snowflake or similar cloud warehouse; upper-intermediate English.

Responsabilidades

• Build and maintain dbt pipelines and Snowflake data marts for customer-facing reporting, spend analytics, and AI features.

Conocimientos

SQL

Python

Data engineering

Analytics engineering

English (upper-intermediate)

Herramientas

dbt

Airbyte

Prefect

Snowflake

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The mandatory requirements are solid dbt experience (modeling, tests, macros, and incremental models), ingestion and orchestration tools such as Airbyte or Prefect, 3+ years in data or analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, Snowflake or a similar cloud warehouse, and an upper-intermediate English level.