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Skills
Best Practicesunmatched
Computer Scienceunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
Data Formatsunmatched
Data Managementunmatched
Data Qualityunmatched
Database Extract Transform and Load (ETL)unmatched
Gitunmatched
Healthcareunmatched
Hubsunmatched
Information Technology & Information Systemsunmatched
Machine Learningunmatched
Microsoft Product Familyunmatched
Microsoft Windows Azureunmatched
Power BIunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Test Automationunmatched
Test Dataunmatched
Training Data Setsunmatched
Description
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
Bachelor's 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