Remote Data Engineer: ETL, Airflow & Cloud Analytics

AgileEngine, LLC.; Perímetro Urbano Barranquilla; Presencial; COP 252.223.000 - 378.334.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Modern projects with global teams

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Data Engineer to own ETL pipelines powering 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.

Comfort adapting shared pipelines for individual clients while keeping code clean matters here. Responsibilities include designing, building, and maintaining ETL pipelines, data models, deployment scripts, and collaborating with client teams to

Formación

• 3-4 years of experience in data engineering or a closely related software engineering role.
• Strong SQL, including complex joins, window functions, and dimensional/star-schema modeling.
• Hands-on Apache Airflow experience (DAGs, operators, scheduling, and troubleshooting failed jobs).
• Working knowledge of ETL patterns and cloud data warehouse design (Amazon Redshift or similar).
• Git and GitLab (or GitHub/Bitbucket) for day-to-day version control.
• Docker / Docker Compose.
• Understanding of data management concepts.
• Ability to translate client and business requirements into SQL, configuration, and DAG changes.

Responsabilidades

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

Apache Airflow

Python

ETL patterns

Cloud Data Warehouse

Amazon Redshift

Git

Docker

GitLab

Data modeling

Airflow DAGs

Herramientas

Tableau

Power BI

Spark

Snowflake

BigQuery

Descripción del empleo

AgileEngine is seeking a Data Engineer to own ETL pipelines powering 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.

Comfort adapting shared pipelines for individual clients while keeping code clean matters here. Responsibilities include designing, building, and maintaining ETL pipelines, data models, deployment scripts, and collaborating with client teams to