Remote Data Engineer | Azure Databricks & AI Pipelines

BairesDev; Antioquia; Remote; COP 277,675,000 - 370,233,000; Full time

Benefits offered by this job

Remote work

USD payments

Hardware provided

Flexible hours

Parental leave & holidays

Mentorship & growth

Job summary

BairesDev is seeking a Data Engineer to design and implement scalable data pipelines using Azure Databricks and Python, with a focus on integrating AI capabilities into data workflows.

You will collaborate with AI and product teams to deliver data-driven solutions, ensure data governance, and maintain secure, reliable pipelines in a fully remote role with flexible hours and USD compensation.

Qualifications

• 4+ years of experience in Data Engineering, ML Engineering, or Software Engineering.
• Expertise in building data pipelines with Azure Databricks and Python.
• Proficiency in integrating ML/AI and LLM APIs into data workflows.
• Strong data manipulation and automation skills for classification tasks.
• Deep knowledge of cloud-native data architectures and AI integration patterns.
• Advanced English proficiency.

Responsibilities

• 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 for data transformation and ingestion.
• Collaborate with AI and product teams to implement data-driven solutions with significant business value.
• Monitor and troubleshoot pipeline performance to ensure reliability and scalability in distributed cloud environments.
• Implement data governance and security best practices to maintain data platform integrity.

Skills

Azure Databricks

Python

ML/AI integration

LLM APIs

SQL

Data pipelines

Cloud architectures

English

Tools

Databricks

Job description

BairesDev is seeking a Data Engineer to design and implement scalable data pipelines using Azure Databricks and Python, with a focus on integrating AI capabilities into data workflows.

You will collaborate with AI and product teams to deliver data-driven solutions, ensure data governance, and maintain secure, reliable pipelines in a fully remote role with flexible hours and USD compensation.