Remote Data Engineer - Azure Databricks | Flexible Hours

BairesDev; Veracruz; Remote; MXN 2,198,000 - 2,931,000; Full time

Benefits offered by this job

Remote work

Competitive USD salary

Home office setup

Flexible hours

Job summary

BairesDev is seeking a Data Engineer specializing in Azure Databricks to design and maintain scalable data architectures in the Microsoft cloud ecosystem. You will bridge raw data sources and actionable insights, optimizing ingestion pipelines and storage for high-performance analytics and reporting.

Responsibilities include building automated pipelines, ETL/ELT optimization, data lakehouse management, and collaboration with analysts and data scientists to support complex business queries.

Qualifications

• 4+ years of experience in Data Engineering or Software Engineering.
• Proven expertise in building data pipelines on Azure Databricks.
• Advanced proficiency in SQL for data transformation and optimization.
• Strong understanding of Azure-native services and cloud data architecture.
• Hands-on experience supporting analytics and reporting workflows.
• Advanced 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 to convert raw data into structured formats for downstream use.
• Build and manage data lakehouse architectures ensuring data consistency across storage layers.
• Collaborate with analysts and data scientists to define data requirements and models for complex queries.
• Monitor pipeline performance and troubleshoot bottlenecks to ensure platform stability.
• Apply data governance and quality controls to maintain data integrity and security in Azure.

Skills

Data pipelines

Azure Databricks

SQL

Azure cloud architecture

Analytics & reporting

English proficiency

Tools

Azure Databricks

SQL

Job description

BairesDev is seeking a Data Engineer specializing in Azure Databricks to design and maintain scalable data architectures in the Microsoft cloud ecosystem. You will bridge raw data sources and actionable insights, optimizing ingestion pipelines and storage for high-performance analytics and reporting.

Responsibilities include building automated pipelines, ETL/ELT optimization, data lakehouse management, and collaboration with analysts and data scientists to support complex business queries.