Data Engineer - Azure Databricks, Python & AI Pipelines

BairesDev; Bogotá ciudad; A distancia; COP 248.463.000 - 372.694.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Competitive salary

Hardware provided

Flexible hours

Paid parental leave

Vacations & holidays

Mentorship & growth

Descripción de la vacante

BairesDev, a global tech services leader, is seeking a Data Engineer to design scalable data pipelines using Azure Databricks and Python. You will help integrate AI capabilities and automate classification tasks across distributed cloud environments.

You will collaborate with AI and product teams, implement governance and security, and ensure reliable, high-performance data workflows. This fully remote role offers flexible hours and competitive compensation.

Formación

• 4+ years of experience in Data Engineering, ML Engineering, or Software Engineering.
• Experience with Azure Databricks and Python for data pipelines.
• Experience with integrating ML/AI solutions and LLM APIs.
• Strong data manipulation and automation skills.
• Knowledge of cloud-native data architectures and AI integration patterns.
• Advanced proficiency in English.

Responsabilidades

• Design, build, and optimize end-to-end data pipelines and Lakehouse architectures using Azure Databricks.
• Integrate LLM APIs and ML models into data processing streams for automated classification and insights.
• Develop and maintain high-quality Python code and SQL procedures.
• Collaborate with AI and product teams to implement data-driven solutions.
• Monitor and troubleshoot pipeline performance across distributed cloud environments.
• Implement data governance and security best practices.

Conocimientos

Azure Databricks

Python

SQL

ML/AI integration

LLM APIs

Data pipelines

Cloud architectures

English (Advanced)

Descripción del empleo

BairesDev, a global tech services leader, is seeking a Data Engineer to design scalable data pipelines using Azure Databricks and Python. You will help integrate AI capabilities and automate classification tasks across distributed cloud environments.

You will collaborate with AI and product teams, implement governance and security, and ensure reliable, high-performance data workflows. This fully remote role offers flexible hours and competitive compensation.