MS Fabric Data Engineer

Welcome to Ovation Healthcare!

At Ovation Healthcare, we’ve been making local healthcare better for more than 40 years. Our mission is to strengthen independent community healthcare. We provide independent hospitals and health systems with the support, guidance and tech-enabled shared services needed to remain strong and viable. With a strong sense of purpose and commitment to operating excellence, we help rural healthcare providers fulfill their missions.

The Ovation Healthcare difference is the extraordinary combination of operations experience and consulting guidance that fulfills our mission of creating a sustainable future for healthcare organizations. Ovation Healthcare's vision is to be a dynamic, integrated professional services company delivering innovative and executable solutions through experience and thought leadership, while valuing trust, respect, and customer focused behavior.

We’re looking for talented, motivated professionals with a desire to help independent hospitals thrive. Working with Ovation Healthcare you will have the opportunity to collaborate with highly skilled subject matter specialists and operations executives, in a collegial atmosphere of professionalism and teamwork.

Ovation Healthcare's corporate headquarters is located in Brentwood, TN. For more information, visit

Summary

As a Microsoft Fabric Data Engineer, you will design, build, and maintain scalable data pipelines, data models, and analytics solutions using Microsoft Fabric and Azure Data Services. You will work extensively within Fabric's Lakehouse and Warehouse environments — building well-structured data models and developing Fabric Notebooks (PySpark/Spark SQL) for data transformation at scale — and collaborate with cross-functional teams to deliver high-quality, secure, and efficient data solutions that drive business intelligence and advanced analytics initiatives.
Duties and Responsibilities

- Design, develop, and maintain scalable, reliable, and efficient data pipelines using Microsoft Fabric and Azure Data Services.

- Design and implement data models within Microsoft Fabric — including Lakehouse and Warehouse architectures, medallion (bronze/silver/gold) layering, and star-schema semantic models optimized for Direct Lake reporting.

- Build, maintain, and optimize Fabric Notebooks (PySpark, Spark SQL, and/or Python) to ingest, cleanse, and transform data at scale, applying performance best practices for Spark compute and Delta Lake tables.

- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insights.

- Implement data ingestion, transformation, and integration workflows (pipelines, Dataflows Gen2, and notebooks) following best practices for security and performance.

- Evaluate and choose the right Fabric tool for the job — pipelines, Dataflows Gen2, or notebooks — based on complexity, performance, and maintainability tradeoffs.

- Monitor, troubleshoot, and optimize data pipelines, notebooks, and data models to ensure high availability and accuracy.

- Ensure data solutions comply with organizational data governance policies and industry regulations.

- Document data models, architectures, processes, and workflows for operational transparency and knowledge sharing.

- Stay current with Microsoft Fabric and Azure ecosystem updates and recommend improvements or new technologies.

- Support the deployment and maintenance of business intelligence and reporting platforms, including Power BI semantic models built on Fabric data.

Knowledge, Skills, and Abilities

- Demonstrated expertise in Microsoft Fabric data modeling and engineering , including Lakehouse vs. Warehouse architecture, OneLake, Delta Lake tables, medallion architecture, and designing star-schema semantic models for Direct Lake or Import mode reporting.

- Hands-on proficiency writing and maintaining Fabric Notebooks using PySpark, Spark SQL, and/or Python for large-scale da