Remote Data Engineer: ETL & Airflow Expert

AgileEngine; Metropolitana; Presencial; COP 189.167.000 - 315.278.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Flexibility

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, an Inc. 5000 company, seeks a Data Engineer to own ETL pipelines powering analytics for colleges, universities, and enterprises.

You will design and maintain data workflows with SQL, Python, and Apache Airflow, moving data into a cloud data warehouse. Collaborating with client teams and analysts, you’ll extend shared pipelines for individual clients, monitor production jobs, and implement deployment scripts.

Formación

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

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across development, staging, and production environments.
• 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

SQL

Python

Airflow

ETL patterns

Cloud data warehouse

Amazon Redshift

Git

Docker

English

Data modeling

Herramientas

Tableau

Power BI

Snowflake

BigQuery

Synapse

Descripción del empleo

AgileEngine, an Inc. 5000 company, seeks a Data Engineer to own ETL pipelines powering analytics for colleges, universities, and enterprises.

You will design and maintain data workflows with SQL, Python, and Apache Airflow, moving data into a cloud data warehouse. Collaborating with client teams and analysts, you’ll extend shared pipelines for individual clients, monitor production jobs, and implement deployment scripts.