Senior Azure Data Engineer

Salary: $156,000 - 176,800 per year Requirements: 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 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 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; or regulated enterprise environments Responsibilities: Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory Help migrate data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake Develop scalable data ingestion, transformation, and processing solutions Design and implement medallion architecture across Bronze, Silver, and Gold data layers Integrate data-quality, reconciliation, and validation checks into pipelines and engineering workflows Automate validation and testing to improve data-product reliability Contribute to technical discussions and decisions about data architecture, solution design, and engineering standards Troubleshoot pipeline failures, data-quality issues, and performance problems Work with engineers, analysts, architects, and business stakeholders to turn requirements into practical data solutions Take part in code reviews, documentation, testing, deployment, and continuous-improvement activities Encourage reusable development patterns and sound engineering practices across the team Technologies: AI Azure CI/CD Cloud Databricks DevOps ETL Git IBM Oracle Python PySpark SQL Data Warehouse Support More: We are hiring a Senior Azure Data Engineer for a remote, contract-to-hire opportunity. The role focuses on modernizing an enterprise data platform by moving data and workloads to an Azure data lake architecture. Healthcare or health-plan experience, particularly with claims, billing, finance, or plan-administration data, is beneficial, while Azure Databricks and data-platform engineering are the primary priorities. Applicants must be willing and able to work on a W-2 basis and convert to a full-time employee after the contract period. The advertised rate is $75–$85 per hour on a W-2 basis. Eligible consultants receive benefits that may include medical, dental, vision, pre-tax accounts, voluntary life and disability coverage, a 401(k) with company match, and sick time where required by law. We use AI tools during initial application screening and hiring; human recruiters review AI-assisted evaluations before hiring decisions. Eliassen Group is a strategic consulting firm providing technology, business advisory, and life sciences solutions. We value inclusion and make employment decisions based on merit, performance, and business needs. last updated 40 week of 2026