Remote Azure Data Engineer: Databricks & Data Factory

Eliassen Group; Washington (District of Columbia); 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 workloads to Azure data lake architecture. You will design and optimize data pipelines with Azure Databricks and Data Factory, implement data-quality checks, and collaborate across teams to deliver trusted data products.

Remote-friendly contract role with a focus on scalable data pipelines, medallion architecture, and robust validation processes.

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.

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

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

ETL/ELT

CI/CD

Medallion architecture

Data quality

Tools

Git

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating workloads to Azure data lake architecture. You will design and optimize data pipelines with Azure Databricks and Data Factory, implement data-quality checks, and collaborate across teams to deliver trusted data products.

Remote-friendly contract role with a focus on scalable data pipelines, medallion architecture, and robust validation processes.