Remote Airflow Data Engineer (Python) - Scalable Pipelines

BairesDev

Bogotá

Remote

COP 127,311,000 - 254,623,000

Full time

14 days+

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Benefits offered by this job

100% remote work
Competitive USD compensation
Home setup provided
Flexible hours
Parental leave and holidays
Multicultural global team
Mentorship and growth opportunities

Job summary

BairesDev is seeking an Airflow Data Engineer (Python) to design and build robust data pipelines and orchestrate complex data flows. This role emphasizes scalable, automated processing across the organization. You'll connect data sources with analytical repositories, monitor workflows, and optimize performance.

The position offers 100% remote work, competitive USD compensation, and flexible hours. Ideal candidates have 5+ years in Data or Software Engineering, Airflow expertise, Python

Qualifications

  • 5+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise in designing and building data pipelines using Apache Airflow.
  • Strong proficiency in Python for developing data workflows.
  • Advanced proficiency in English.

Responsibilities

  • Design, develop, and deploy scalable data pipelines and workflows.
  • Manage and optimize pipeline orchestration to ensure timely and reliable data delivery.
  • Write clean, maintainable code to automate data ingestion, transformation, and loading processes.
  • Monitor workflow execution, troubleshoot bottlenecks, and implement performance tuning.
  • Collaborate with data teams to understand data modeling requirements and architecture standards.

Skills

Python
Apache Airflow
Data Engineering
English
5+ years experience

Tools

Apache Airflow

Job description

BairesDev is seeking an Airflow Data Engineer (Python) to design and build robust data pipelines and orchestrate complex data flows. This role emphasizes scalable, automated processing across the organization. You'll connect data sources with analytical repositories, monitor workflows, and optimize performance.

The position offers 100% remote work, competitive USD compensation, and flexible hours. Ideal candidates have 5+ years in Data or Software Engineering, Airflow expertise, Python

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