Azure Data Engineer: Cloud Pipelines & Lakehouse (Remote)

Eliassen Group; Boise (ID); Remote; USD 90,000 - 103,000; Part time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) with match

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating workloads to a cloud-based Azure data lake. You will design and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, implement data-quality checks, and promote data through medallion architecture layers.

The role emphasizes collaboration with engineers, analysts, and business partners to deliver reliable, maintainable, and trusted data products within a remote,

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.
• 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.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience with CI/CD and automated deployment practices.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support migration of data and ETL workloads from on-premises Oracle/DataStage to Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture across Bronze, Silver, Gold layers.
• Build data-quality, reconciliation, and validation checks into pipelines and workflows.
• Automate validation and testing to improve reliability of data products.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• 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

Data pipelines

Medallion architecture

Git

CI/CD

Azure DevOps

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating workloads to a cloud-based Azure data lake. You will design and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, implement data-quality checks, and promote data through medallion architecture layers.

The role emphasizes collaboration with engineers, analysts, and business partners to deliver reliable, maintainable, and trusted data products within a remote,