Remote Data Engineer - Azure Databricks & Lakehouse

BairesDev

Palo Alto (CA)

Hybrid

CLP 83,877,000 - 121,156,000

Full time

14 days+
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Benefits offered by this job

Remote work
USD compensation
Flexible hours
Parental leave
Growth opportunities

Job summary

BairesDev is seeking a Data Engineer specializing in Azure Databricks to design and maintain scalable data architecture within the Microsoft cloud ecosystem. You will bridge raw data sources and analytics, ensuring high-performance ingestion and reliable storage for reporting.

You'll build automated pipelines, optimize ETL/ELT processes, and collaborate with analysts and data scientists to meet complex business queries, all while enjoying 100% remote work and flexible hours.

Qualifications

  • 4+ years of experience in Data Engineering or Software Engineering.
  • Proven expertise in building data pipelines on Azure Databricks.
  • Advanced SQL for data transformation and optimization.
  • Strong knowledge of Azure cloud services.
  • Experience supporting analytics workflows.
  • Advanced English proficiency.

Responsibilities

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

Skills

Azure Databricks
SQL
Data pipelines
Data architecture
English
Azure cloud

Tools

Azure Databricks
Azure services

Job description

BairesDev is seeking a Data Engineer specializing in Azure Databricks to design and maintain scalable data architecture within the Microsoft cloud ecosystem. You will bridge raw data sources and analytics, ensuring high-performance ingestion and reliable storage for reporting.

You'll build automated pipelines, optimize ETL/ELT processes, and collaborate with analysts and data scientists to meet complex business queries, all while enjoying 100% remote work and flexible hours.

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