Remote Data Engineer — ETL, Airflow & Cloud DW

AgileEngine; Medellín; Presencial; COP 90.000.000 - 130.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine, a leading software developer for Fortune 500 brands and startups, seeks 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.

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.
• Strong Python programming skills.
• 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: Snowflake, BigQuery, Synapse).
• 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.
• Upper-intermediate English level.

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.
• Collaborate on 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

Apache Airflow

ETL patterns

Cloud data warehouse design

Git

Docker

Data modeling

English (Upper-intermediate)

Herramientas

Amazon Redshift

Snowflake

BigQuery

Synapse

Descripción del empleo

AgileEngine, a leading software developer for Fortune 500 brands and startups, seeks 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.