Data Engineer – ETL & Cloud Warehouse (Remote)

AgileEngine, LLC.; Puebla de Zaragoza; Presencial; MXN 1.521.000 - 2.196.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth budget

Competitive pay

Remote work

Challenging projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Data Engineer to own ETL pipelines that power analytics for colleges and universities. You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse.

You will adapt shared pipelines for individual clients while keeping code clean. Responsibilities include building, monitoring, and updating ETL processes, collaborating with client teams, and contributing to platform modernization using new

Formación

• 3-4 years of experience in data engineering or related role.
• Proficient SQL with complex joins, windows, and star-schema modeling.
• Hands-on Apache Airflow experience (DAGs, scheduling, troubleshooting).
• Experience with ETL patterns and cloud data warehouse design (Redshift or similar).
• Git/GitLab or similar for version control.
• Docker / Docker Compose experience.

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across multiple environments.
• Extend data models and datasets for analytical needs.
• Customize shared pipelines for clients while keeping code clean and reusable.
• Monitor production pipelines, investigate failures, and deploy fixes.

Conocimientos

SQL

Airflow

ETL

Data modeling

Version control

Docker

Herramientas

Amazon Redshift

Snowflake

BigQuery

Tableau

Power BI

Descripción del empleo

AgileEngine is seeking a Data Engineer to own ETL pipelines that power analytics for colleges and universities. You will design and maintain data workflows using SQL, Python, and Apache Airflow, moving data from source systems into a cloud data warehouse.

You will adapt shared pipelines for individual clients while keeping code clean. Responsibilities include building, monitoring, and updating ETL processes, collaborating with client teams, and contributing to platform modernization using new