Azure Data Engineer: Remote Data Lake & Medallion

Eliassen Group; Denver (CO); Remote; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data and workloads from on-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design and optimize pipelines using Azure Databricks and Azure Data Factory, and implement data-quality checks across Bronze, Silver, and Gold layers.

The role emphasizes collaboration with engineers, analysts, and business partners to deliver reliable, maintainable data products.

Qualifications

• Hands-on data engineering in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from on-premises Oracle and DataStage to Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
• Build data-quality, reconciliation, and validation checks into data pipelines and workflows.
• Automate validation and testing to improve reliability of data products.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with engineers, analysts, architects, and stakeholders to translate requirements into data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices.

Skills

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

ETL/ELT

Medallion architecture

Data pipelines

CI/CD

Git

Communication

Tools

Azure

Databricks

Data Factory

Oracle

IBM DataStage

Azure DevOps

Delta Lake

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data and workloads from on-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design and optimize pipelines using Azure Databricks and Azure Data Factory, and implement data-quality checks across Bronze, Silver, and Gold layers.

The role emphasizes collaboration with engineers, analysts, and business partners to deliver reliable, maintainable data products.