Microsoft Fabric Data Engineer

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions.

The Microsoft Fabric Data Engineer supports Applied Medical by designing, developing, and maintaining reliable data pipelines and analytics solutions using Microsoft Fabric. The Microsoft Fabric Data Engineer contributes to enterprise data quality and system performance by building scalable data workflows, optimizing data storage, and supporting advanced analytics across business teams. This role plays a key part in enabling a unified data environment and strengthening Applied Medical’s ability to make data driven decisions.

• Design and develop scalable data pipelines using Microsoft Fabric to support enterprise data engineering and analytics needs.
• Collaborate with analysts, data teams, and business stakeholders to define data requirements and deliver effective data solutions.
• Maintain and troubleshoot data workflows to ensure system reliability and accurate data refresh cycles.
• Optimize data storage, retrieval, and processing to improve performance, scalability, and long-term maintainability.
• Integrate Microsoft Fabric services, Azure Data Factory, and Azure Synapse components to streamline end to end data processes.
• Develop Python based tools for data cleaning, transformation, automation, and workflow improvements.
• Support the implementation of machine learning models and data analytics workflows by preparing clean, structured datasets.
• Maintain comprehensive documentation for data models, configurations, data pipelines, and system processes.
• Ensure data accuracy, data integrity, and data security across all reporting and analytics solutions.

• Delivering stable and scalable data engineering solutions that support business intelligence and enterprise analytics.
• Driving data accuracy and reliability by monitoring data quality and maintaining consistent refresh cycles.
• Leading cross functional initiatives that improve data workflows and unify data sources across systems.
• Advancing product innovation by enabling machine learning, predictive analytics, and advanced reporting.
• Ensuring regulatory compliance, documentation accuracy, and alignment with Applied Medical’s quality standards.
• Strengthening collaboration by communicating clearly with technical and non-technical stakeholders.

This position requires the following skills and attributes:

• Bachelor’s degree in computer science, information technology, data science, engineering, or a related field, including BS in computer science or BS in engineering.
• At least five years of experience in data engineering with Azure Data Factory or similar cloud data tools.
• At least one year of enterprise experience working with Microsoft Fabric.
• Strong knowledge of data modeling, extract transform load (ETL) and extract load transform (ELT) processes, and modern data warehousing methods.
• Proficiency in Structured Query Language (SQL) and cloud-based database technologies.
• Experience with Azure Data Factory, Azure Synapse, and Microsoft Azure environments.
• Experience using Python for data transformation, workflow automation, and analytics support.
• Experience developing reports or dashboards using Power BI.
• Strong problem solving skills with high attention to detail.
• Strong communication and collaboration skills to work effectively with global teams.
• Ability to maintain data accuracy and verify that data is refreshed and delivered promptly.

• Microsoft Azure Data Fundamentals (DP-900)
• Microsoft Certified Fabric Data Engineer Associate (DP-700)
• Implementing Analytics Solutions Using Microsoft Fabric (D-600)

• Familiarity with enterprise resource…