Azure Databricks Data Engineer | Remote, Flexible Hours

BairesDev

Colombia

Remote

COP 324,496,000 - 454,295,000

Full time

9 hours ago
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Job summary

BairesDev is a global tech company delivering first-class software engineering talent remotely to clients worldwide. We are looking for a Data Engineer to design and optimize data pipelines, build lakehouse architectures, and collaborate with analysts to answer complex business questions.

Join our remote, flexible team and work on high-impact projects with top-tier clients, supported by mentorship and growth opportunities. This role offers USD compensation and a globally distributed environment.

Qualifications

  • 4+ years in Data Engineering or Software Engineering.
  • Experience building data pipelines on Azure Databricks.
  • Advanced SQL for transformation and optimization.
  • Strong English proficiency.

Responsibilities

  • Design, develop, and maintain automated data pipelines for large-scale ingestion and transformation using Azure Databricks.
  • Implement and optimize ETL/ELT processes for structured downstream data.
  • Build and manage data lakehouse architectures ensuring data consistency across storage layers.
  • Collaborate with analysts and data scientists to define data requirements and develop models.
  • Monitor pipeline performance and troubleshoot bottlenecks for stability.
  • Apply data governance and security controls across the Azure environment.

Skills

SQL proficiency
English proficiency
Data pipeline development

Tools

Azure Databricks
Azure-native services

Job description

BairesDev is a global tech company delivering first-class software engineering talent remotely to clients worldwide. We are looking for a Data Engineer to design and optimize data pipelines, build lakehouse architectures, and collaborate with analysts to answer complex business questions.

Join our remote, flexible team and work on high-impact projects with top-tier clients, supported by mentorship and growth opportunities. This role offers USD compensation and a globally distributed environment.

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