Data Engineer - ETL & Airflow (Remote, Growth-Focused)

AgileEngine, LLC.; Metropolitana; Presencial; COP 60.000.000 - 120.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility: 100% remote with flexible

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Data Engineer to own ETL pipelines that power institutional analytics for colleges and universities. This role designs and maintains data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse.

Comfort adapting shared pipelines for individual clients while keeping code clean matters here. What you will do includes designing, building, and maintaining ETL pipelines across environments, extending data models, and

Formación

• 3-4 years of experience in data engineering or a closely related software engineering role.

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across multiple environments (development, staging, and production).
• Implement and extend data models and datasets to support analytical and reporting needs.
• Adapt and customize shared data pipelines for individual clients while maintaining a clean, reusable codebase.
• Monitor and support production data pipelines, investigate failures, and deliver fixes in a timely manner.
• Write and maintain database DDL, data validation queries, and deployment scripts.
• Contribute to platform modernization initiatives, including infrastructure upgrades and adoption of new data technologies.
• Collaborate with client teams, analysts, and stakeholders to gather requirements and deliver solutions.

Conocimientos

Python

SQL

ETL

Data Modeling

Analytical Thinking

Herramientas

Apache Airflow

Git (GitLab/GitHub)

Docker / Docker Compose

Amazon Redshift

Snowflake

BigQuery

Descripción del empleo

AgileEngine is seeking a Data Engineer to own ETL pipelines that power institutional analytics for colleges and universities. This role designs and maintains data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse.

Comfort adapting shared pipelines for individual clients while keeping code clean matters here. What you will do includes designing, building, and maintaining ETL pipelines across environments, extending data models, and