Senior Data Engineer: Azure Databricks Architect (Remote)

Nexaminds; United States; Remote; USD 84,000 - 113,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship opportunities

Job summary

Nexaminds in CANADA seeks a Senior Data Engineer to design, develop, and maintain scalable data solutions in Databricks, Azure, and data modeling. You will translate business requirements into robust data pipelines and collaborate in an Agile team.

Ideal candidates have 5+ years in data engineering, strong SQL, Python/PySpark, and experience with Azure data services. The role offers remote options, stock options, flexible hours, and opportunities to mentor peers on cutting-edge data platforms.

Qualifications

• 5+ years of experience in Data Engineering or related technical discipline.
• Strong hands-on experience with Databricks.
• Experience with Python or PySpark.
• Solid experience with data modeling for analytical and operational use cases.
• Experience building and maintaining data solutions on Microsoft Azure.
• Strong understanding of the Microsoft technology ecosystem.
• Experience developing scalable data pipelines and data transformation processes.
• Strong SQL skills with large datasets.
• Nice to have: Azure Data Factory, Azure Synapse Analytics, Azure SQL, Microsoft Fabric, or Power BI.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Azure.
• Develop and maintain data models to support business and analytical requirements.
• Perform data ingestion, transformation, and integration across enterprise data sources.
• Develop efficient, reusable data engineering solutions.
• Monitor and troubleshoot data pipelines and resolve performance or data quality issues.
• Collaborate with architects and engineering teams to implement data platform solutions.
• Translate business requirements into technical data solutions.
• Optimize data processing workflows for performance, scalability, and reliability.
• Follow established data engineering, security, quality, and governance standards.
• Participate in code reviews and contribute to engineering best practices.
• Support data migration, modernization, and platform enhancement initiatives.
• Document data pipelines, models, processes, and technical solutions.

Skills

Databricks

Python/PySpark

Data modeling

Microsoft Azure

SQL

Microsoft ecosystem

Tools

Azure Databrish?

Job description

Nexaminds in CANADA seeks a Senior Data Engineer to design, develop, and maintain scalable data solutions in Databricks, Azure, and data modeling. You will translate business requirements into robust data pipelines and collaborate in an Agile team.

Ideal candidates have 5+ years in data engineering, strong SQL, Python/PySpark, and experience with Azure data services. The role offers remote options, stock options, flexible hours, and opportunities to mentor peers on cutting-edge data platforms.