Senior Data Engineer: Airflow, dbt & Snowflake — Remote

AgileEngine; Sur; Presencial; COP 281.171.000 - 406.136.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Competitive compensation

Remote work

Challenging projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer with deep expertise in Airflow and dbt to advance our modern Snowflake data stack. You will design and optimize ELT pipelines, ensure zero downtime for BI tools, and implement robust testing and failure alerting.

Join a people-first culture that values growth and impact while collaborating with global teams on cutting-edge data projects. This role offers 100% remote work with flexible hours to accommodate global time zones.

Formación

• 4+ years of experience as a Data Engineer.
• Hands-on production experience with Apache Airflow or Astronomer.
• dbt Core expertise including macros, packages, and materializations.
• Advanced Git & Data CI/CD with automated regression testing.
• Strong software/data engineering background in Python and SQL.

Responsabilidades

• Build and maintain bronze/silver/gold layers in Snowflake with the team lead.
• Create automated testing and failure alerting for ETL pipelines.
• Migrate schedule-based Paradime jobs to Airflow DAGs.
• Ensure data governance and protection for PII data.
• Optimize dbt and pipeline performance to reduce compute cost.
• Maintain integration points between Paradime and Airflow during production.

Conocimientos

Airflow

dbt

Python

SQL

Data Engineering

Git & CI/CD

English

Herramientas

Astronomer

Snowflake

Terraform

Docker

CloudFormation

AWS S3

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer with deep expertise in Airflow and dbt to advance our modern Snowflake data stack. You will design and optimize ELT pipelines, ensure zero downtime for BI tools, and implement robust testing and failure alerting.

Join a people-first culture that values growth and impact while collaborating with global teams on cutting-edge data projects. This role offers 100% remote work with flexible hours to accommodate global time zones.