Remote Apache Airflow Engineer: Data Pipelines & Automation

BairesDev; Colombia; On-site; COP 100,000,000 - 180,000,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Hardware and software setup for remote

Flexible hours

Paid parental leaves and holidays

Global Top 1% talent environment

Mentorship and growth opportunities

Job summary

BairesDev is seeking a Software Engineer specializing in Apache Airflow to design and manage data pipeline orchestration across our data platforms. You will build scalable DAGs, implement scheduling logic, and collaborate with data engineers to drive reliable data delivery.

This 100% remote role offers competitive USD compensation, flexible hours, and a mentorship-driven environment within a global Top 1% tech talent ecosystem.

Qualifications

• 4+ years in Data/Software Engineering focusing on data orchestration.
• Proven expertise with Apache Airflow and scalable pipelines.
• Experience designing complex DAGs and managing dependencies.
• Strong Python for data workflows and automation.
• Hands-on monitoring and troubleshooting of pipelines.
• Excellent English communication.

Responsibilities

• Design, develop, and maintain DAGs to orchestrate data movement.
• Manage task dependencies and scheduling across systems.
• Monitor workflow executions and implement alerting for failures.
• Optimize Airflow infrastructure and configurations.
• Collaborate with data engineers and analysts to translate requirements.
• Follow best practices for version control, testing, and deployment.

Skills

Apache Airflow

Python

DAGs

Data Engineering

Data pipelines

Monitoring

English

Job description

BairesDev is seeking a Software Engineer specializing in Apache Airflow to design and manage data pipeline orchestration across our data platforms. You will build scalable DAGs, implement scheduling logic, and collaborate with data engineers to drive reliable data delivery.

This 100% remote role offers competitive USD compensation, flexible hours, and a mentorship-driven environment within a global Top 1% tech talent ecosystem.