Azure Data Engineer

Azure Data Engineer (Microsoft Fabric Specialist)Location: Remote with occasional travel to Phoenix, AZ. First preference in Phoenix, AZ.We are seeking a highly skilled Azure Data Engineer with deep expertise in Microsoft Fabric to design, implement, and optimize our next-generation data analytics platform. In this role, you will lead the transition and development of end-to-end data pipelines within a unified SaaS analytics environment. You will leverage the full power of OneLake, Lakehouses, and PySpark notebooks to build scalable, high-performance architectures that transform raw data into actionable enterprise insights.Key ResponsibilitiesFabric Architecture Design: Architect and deploy end-to-end data engineering solutions leveraging the Microsoft Fabric ecosystem including OneLake, Lakehouses, Warehouses, and Streamhouses.Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines using Fabric Datafactory, Pipelines, and Dataflows Gen2.Data Processing & Transformation: Write complex, optimized data transformation scripts using PySpark, Spark SQL, and Python within Fabric Notebooks.Modern Data Warehousing: Implement a Medallion Architecture (Bronze/Silver/Gold layers) inside OneLake utilizing Delta Lake formats for Delta Live Tables.Performance Tuning: Optimize query speeds and pipeline performance through strategic file partitioning, indexing, and workspace capacity management.Data Modeling & Analytics Integration: Construct and optimize Fabric Semantic Models to ensure seamless, high-performance integration with Power BI reporting.Governance & Security: Enforce enterprise data security using Fabric RBAC, Azure Key Vault, Managed Identities, and Microsoft Purview for metadata lineage.DevOps Integration: Implement CI/CD workflows using Git integration and Azure DevOps to automate code deployment across development, testing, and production environments.Required Skills & QualificationsEducation: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.Core Experience: Minimum 3+ years of professional experience in Azure Data Engineering, with at least 1 year of dedicated hands-on experience working directly inside Microsoft Fabric.Tech Stack Mastery: Languages: Advanced proficiency in SQL, Python, and PySpark.Fabric Components: Deep knowledge of Fabric Lakehouse, Dataflows Gen2, Shortcuts, and Fabric Notebooks.Legacy Azure Services: Solid background in traditional Azure data stack tools like Azure Data Factory (ADF), Azure Synapse Analytics, and ADLS Gen2.Methodologies: Strong comprehension of Kimball data warehousing methodologies, dimensional modeling, and Delta Lake frameworks.