Job Summary: We are looking for a highly skilled Azure Data Engineer to design and implement modern data solutions using the Azure cloud ecosystem. The ideal candidate will have deep expertise in Azure Data Lake (Gen1/Gen2) , Data Factory , Databricks , Synapse Analytics , and Power BI , with a strong understanding of data streaming, data warehousing, and security components in Azure. This role requires a hands-on professional who can build scalable, secure, and high-performing data platforms that drive analytics and business insights. Job Locations: Feasterville-Trevose, Pennsylvania OR Rockville, Maryland

Key Responsibilities: Design and develop robust data pipelines using Azure Data Factory and Azure Databricks . Work with streaming data processing using Spark clusters in Azure Databricks. Manage and utilize Azure Data Lake Gen1/Gen2 , Blob containers , and Azure SQL Server for data storage and processing. Build and maintain Azure Data Warehouses and deliver scalable solutions using Azure Synapse Analytics . Implement secure data access and management using Azure Key Vault and Azure Active Directory . Integrate event-driven architecture using ESB , Event Grid , and Azure Functions . Work with Cosmos DB for NoSQL database solutions within cloud-native applications. Develop and publish interactive dashboards and analytics reports using Power BI . Ensure security, compliance, and performance of data infrastructure.

Must-Have Skills: Strong experience with: Azure Data Lake Gen1/Gen2 Azure Data Factory Azure Databricks (including Spark clusters) Azure Synapse Analytics Azure SQL Server , Cosmos DB , Blob Storage Azure Key Vault , Azure Active Directory Azure Functions , Event Grid , ESB

Mandatory experience with Power BI for analytics and dashboard creation.

Preferred Skills: Experience in building end-to-end data pipelines for big data and analytics . Knowledge of data governance and data security best practices in Azure. Familiarity with DevOps for Data Engineering and automation of deployments.