Azure Data Engineer: Cloud Data Lake & Databricks (Remote)

Eliassen Group; Lincoln (NE); Remote; USD 185,976,000 - 214,906,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-premises Oracle Data Warehouse and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Data Factory, with medallion architecture across Bronze, Silver, and Gold layers.

Role emphasizes data-platform engineering, data-quality, and collaboration with engineers, analysts, and business partners.

Qualifications

• Hands-on data engineering experience in enterprise environments.
• 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 (Bronze/Silver/Gold).
• Experience with relational databases and large datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or other version-control platforms.
• Experience with CI/CD and automated deployment practices.
• Analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while guiding other team members.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support migration of data and ETL workloads to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across data 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 and performance issues.
• 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

Tools

Git

Azure DevOps

CI/CD

Job description

Eliassen Group is seeking an Azure Data Engineer to modernize an enterprise data platform by migrating from on-premises Oracle Data Warehouse and IBM DataStage to a cloud-based Azure data lake. You will design, build, and optimize scalable data pipelines using Azure Databricks and Data Factory, with medallion architecture across Bronze, Silver, and Gold layers.

Role emphasizes data-platform engineering, data-quality, and collaboration with engineers, analysts, and business partners.