MDA Edge

Senior Engineer/Senior Azure Data Engineer � Azure Synapse, Databricks & Power BI

Rockville, MD, US

28 days ago
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Summary

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.

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