Azure Data Engineer: Remote Lakehouse & Pipelines

Eliassen Group; Salem (OR); Remote; USD 90,000 - 103,000; Part time

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data from on-prem Oracle/DataStage to Azure data lake architecture. You will design and implement scalable data pipelines using Azure Databricks and Azure Data Factory, ensure data quality, and collaborate with engineers, analysts, and stakeholders to deliver trusted data products.

Remote/work-from-home arrangement available.

Qualifications

• Hands-on data engineering in enterprise environments.
• Proficient with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Experience with batch data pipelines and ETL/ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
• Experience with relational databases and large datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience working with CI/CD and automated deployment practices.
• Analytical, troubleshooting, and problem-solving skills.
• Ability to contribute to development while providing technical guidance to other team members.
• Communication and collaboration 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 environment to an 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 directly into data pipelines and engineering workflows.
• Automate validation and testing to improve the reliability of data products.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices across the team.

Skills

Azure Databricks

Azure Data Factory

SQL

Python

PySpark

ETL/ELT

Medallion architecture

Data pipelines

Git

CI/CD

Data quality

Analytics

Tools

Azure Databricks

Azure Data Factory

Git

CI/CD

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data from on-prem Oracle/DataStage to Azure data lake architecture. You will design and implement scalable data pipelines using Azure Databricks and Azure Data Factory, ensure data quality, and collaborate with engineers, analysts, and stakeholders to deliver trusted data products.

Remote/work-from-home arrangement available.