Senior Data Engineer with strong Microsoft Fabric

Mesa/Phoenix AZ area is seeking a Mid-Level to Senior Data Engineer with strong Microsoft Fabric expertise. This is a direct hire opportunity working closely with the hiring manager. The company offers a competitive compensation package and a hybrid work model (must reside in the Phoenix metro area). Position Overview: This role focuses on designing building and optimizing scalable data pipelines and platform components within Microsoft Fabric. The Data Engineer will play a key role in enabling analytics and machine learning initiatives ensuring data is high-quality governed and performant while collaborating across IT and business teams. Responsibilities:

• Design and manage Fabric Lakehouse architectures (OneLake medallion patterns)
• Build and orchestrate ETL/ELT pipelines using Data Factory Spark and SQL
• Optimize and administer Fabric workloads capacity and performance
• Support delivery of ML-ready datasets feature stores and inference pipelines
• Implement CI/CD pipelines and support model deployment lifecycle (MLOps)
• Establish data quality lineage governance and monitoring standards
• Optimize Spark/SQL performance for scalability and cost efficiency
• Collaborate cross-functionally and contribute to best practices and reusable assets

• Bachelors or Masters degree in Computer Science Information Systems Data Engineering or related field
• At least 3-5 years of Data Engineering experience
• Strong hands-on experience with Python and SQL
• Proven experience with Microsoft Fabric (Lakehouse OneLake Data Factory Spark) and Power BI integration
• Experience with modern data formats (Delta Lake Parquet Spark)
• Familiarity with data governance (Purview RBAC)
• Experience with CI/CD Git and automated testing for data platforms

Preferred Qualifications:

• Experience integrating Fabric with Azure services (ADLS Azure SQL/MI Event Hubs Synapse)
• Exposure to MLOps practices (feature stores model registry monitoring)
• Knowledge of Power BI semantic models Direct Lake/DirectQuery
• Experience with streaming or near real-time data architectures