Fabric Data Engineer — Lakehouse & PySpark

RiseMe; United States; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Ovation Healthcare is seeking a Microsoft Fabric Data Engineer to design, build, and maintain scalable data pipelines and data models using Fabric Lakehouse and Warehouse architectures. You will develop Fabric Notebooks for large-scale transformations and collaborate with cross-functional teams to deliver secure, efficient analytics solutions.

Ideal candidates bring hands-on Fabric Notebook experience, SQL and Python/Scala proficiency, and a background in data governance, with opportunities to

Qualifications

• Bachelor's degree in a related field.
• 3+ years of data engineering or data architecture experience.
• Hands-on experience with Microsoft Fabric data modeling and engineering.
• Proficiency writing PySpark/Spark SQL in notebooks for data transformation.
• Strong SQL and programming skills (Python/Scala).
• Experience with Fabric Notebooks and Azure Data Services is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Services.
• Develop data models within Fabric Lakehouse and Warehouse architectures.
• Create and optimize Fabric Notebooks (PySpark/Spark SQL) for large-scale transformations.
• Collaborate with analysts and business stakeholders to translate requirements into data solutions.
• Ensure security, governance, and performance across data pipelines and models.
• Document architectures, processes, and data workflows for transparency.

Skills

Microsoft Fabric

Data modeling

Fabric Notebooks

PySpark

Spark SQL

Python

SQL

Power BI

Azure Data Services

Security

Education

Bachelor's degree in CS/IT/Engineering

3+ years data engineering/architecture

Tools

Azure Data Factory

Fabric Pipelines

Azure Synapse Analytics

Dataflows Gen2

OneLake

Delta Lake

Job description

Ovation Healthcare is seeking a Microsoft Fabric Data Engineer to design, build, and maintain scalable data pipelines and data models using Fabric Lakehouse and Warehouse architectures. You will develop Fabric Notebooks for large-scale transformations and collaborate with cross-functional teams to deliver secure, efficient analytics solutions.

Ideal candidates bring hands-on Fabric Notebook experience, SQL and Python/Scala proficiency, and a background in data governance, with opportunities to