Senior Data Engineer — Remote, Airflow & dbt Expert

AgileEngine; Metropolitana; Presencial; COP 140.000.000 - 200.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work with flexible hours

Modern data tech stack experience

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to advance our Snowflake data stack, implement the Medallion architecture, and improve pipeline reliability across ETL workloads. You will architect complex Airflow DAGs, audit dbt code, and ensure zero downtime for BI tools.

The role requires 4+ years in data engineering, strong Airflow and dbt, Python and SQL, and upper-intermediate English. You will work with Paradime, Airflow, and Snowflake in a modern data stack with a global team.

Formación

• 4+ years of experience as a Data Engineer.
• Strong Airflow and dbt expertise.
• Production data engineering with Python and SQL.
• Upper-intermediate English.

Responsabilidades

• Support bronze/silver/gold layering in the Snowflake warehouse.
• Build automated tests and failure alerts for Paradime and Airflow.
• Migrate Paradime jobs to orchestrated Airflow DAGs.
• Adhere to data governance for PII pipelines.
• Translate dbt schedules into scalable Airflow DAGs with modern Python patterns.
• Maintain integration points between Paradime and Airflow.
• Audit dbt code and pipelines to reduce compute time and costs.
• Collaborate to evolve data stack for AI semantic layers.
• Establish automated error handling and recovery across the pipeline.

Conocimientos

Data engineering

Airflow

dbt Core

Python

SQL

Git & CI/CD

English (Upper-intermediate)

Herramientas

Astronomer

Snowflake

Terraform

Docker

AWS S3

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to advance our Snowflake data stack, implement the Medallion architecture, and improve pipeline reliability across ETL workloads. You will architect complex Airflow DAGs, audit dbt code, and ensure zero downtime for BI tools.

The role requires 4+ years in data engineering, strong Airflow and dbt, Python and SQL, and upper-intermediate English. You will work with Paradime, Airflow, and Snowflake in a modern data stack with a global team.