Azure Data Engineer - Remote Lakehouse & Pipelines

Eliassen Group; Helena (MT); Remote; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401k with company match

Life insurance

Job summary

Eliassen Group seeks an Azure Data Engineer to modernize an enterprise data platform by migrating workloads from on-premises Oracle/DataStage to a cloud-based Azure data lake. You will design and build scalable data pipelines using Azure Databricks and Azure Data Factory, implementing data-quality checks and medallion architecture across Bronze, Silver, and Gold layers.

The role requires strong SQL and Python/PySpark skills, hands-on data engineering in enterprise environments, and collaboration

Qualifications

• Hands-on data engineering experience in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Experience designing and developing batch data pipelines and ETL/ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture (Bronze, Silver, Gold).
• Experience with relational databases and large datasets.
• Understand data modeling, schema design, and performance optimization.
• Experience with Git or another VCS and CI/CD practices.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Migrate data and ETL workloads from on-premises Oracle/DataStage to Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Implement medallion architecture across Bronze, Silver, Gold layers.
• Build data-quality, reconciliation, and validation checks into pipelines.
• Automate validation and testing to improve data reliability.
• Troubleshoot pipeline failures and performance issues.
• Collaborate with engineers, analysts, and stakeholders to translate requirements.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement.

Skills

Analytical thinking

Troubleshooting

Communication

Team collaboration

Mentoring

Tools

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

Git

CI/CD

Job description

Eliassen Group seeks an Azure Data Engineer to modernize an enterprise data platform by migrating workloads from on-premises Oracle/DataStage to a cloud-based Azure data lake. You will design and build scalable data pipelines using Azure Databricks and Azure Data Factory, implementing data-quality checks and medallion architecture across Bronze, Silver, and Gold layers.

The role requires strong SQL and Python/PySpark skills, hands-on data engineering in enterprise environments, and collaboration