Senior Azure Data Engineer — Cloud Data Lakes & Pipelines

Eliassen Group; Madison (WI); Remote; USD 214,906,000 - 243,835,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with match

Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to Azure data lake architecture. You will design, build, and optimize scalable data pipelines with Azure Databricks and Azure Data Factory, contributing to architecture decisions and engineering best practices.

Remote work is offered for a contract-to-hire engagement. The role involves ingesting data from legacy systems, implementing data-quality checks, and

Qualifications

• Strong 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.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.
• Strong communication and collaboration skills.
• Preferred: experience migrating on-premises platforms to Azure, Oracle and IBM DataStage, Azure data lake or lakehouse design, Delta Lake and Databricks features, automated data testing and monitoring, Azure DevOps, Agile or Scrum, healthcare or finance-related data, and regulated enterprise environments.

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.
• Help guide technical discussions and decisions related to data architecture, solution design, and engineering standards.
• 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

Batch ETL pipelines

Data quality & validation

Medallion architecture

Relational databases

Data modeling

Partitioning

Performance optimization

Git

CI/CD

Azure DevOps

Agile/Scrum

Tools

Git

CI/CD

Azure DevOps

Job description

Eliassen Group is seeking a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to Azure data lake architecture. You will design, build, and optimize scalable data pipelines with Azure Databricks and Azure Data Factory, contributing to architecture decisions and engineering best practices.

Remote work is offered for a contract-to-hire engagement. The role involves ingesting data from legacy systems, implementing data-quality checks, and