Azure Data Engineer — Cloud Data Lake & Pipelines

Eliassen Group; Olympia (WA); Remote; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401(k) with company matching

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating data from on-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, ensuring data quality and robust validation.

You will collaborate with engineers, analysts, and business partners to deliver reliable data products.

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 or 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 working with relational databases and large, complex 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.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from an 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

SQL

Python

PySpark

Batch data pipelines

Data quality

Data validation

ETL/ELT

Analytical thinking

Communication

Problem solving

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-premises Oracle and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory, ensuring data quality and robust validation.

You will collaborate with engineers, analysts, and business partners to deliver reliable data products.