Consulting Data Engineer

LifePoint Health • Brentwood, TN

8d • Remote

About The Position

We are seeking a highly skilled Azure Fabric Data Engineer to design, build, and optimize data pipelines and analytical solutions within the Microsoft Fabric ecosystem. This role is pivotal in enabling scalable, secure, and AI-ready data infrastructure that supports business intelligence, machine learning, and operational reporting.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field or experience deemed relevant
• 3+ years of experience in cloud data engineering, preferably in Azure
• Strong proficiency in T-SQL, Python, and Spark
• Hands-on experience with Microsoft Fabric , Azure Synapse , Azure Data Factory, and dbt (Data build tools)
• Deep understanding of data modeling , ETL/ELT , and semantic layer design
• Familiarity with Copilot , AI model integration , and vector search
• Experience with Azure Key Vault , Entra ID , and service principal authentication
• Knowledge of data governance frameworks (e.g., Purview, GDPR, HIPAA)
• Ability to work in cross-functional teams and communicate technical concepts clearly

Nice To Haves

• Healthcare experience not required but a solid nice to have
• Microsoft certifications (e.g., DP-203, Fabric Data Analyst Associate) are a plus
• Experience with Microsoft Fabric REST APIs
• Familiarity with LangChain , Semantic Kernel , or ML.NET
• Knowledge of CMS compliance standards and healthcare data workflows

Responsibilities

• Design and implement data pipelines using Azure Data Factory, Synapse Pipelines, Fabric Notebooks, and dbt (data build tools)
• Develop and manage Fabric Warehouses and Lakehouses , ensuring schema compatibility, performance, and compliance
• Integrate data across cloud and on-prem sources , including SQL Server, Azure Blob, REST APIs, and third-party systems
• Configure linked services and authentication using service principals, managed identities, and secure credential stores (e.g., Azure Key Vault)
• Enable AI-readiness by preparing semantic models, marking artifacts as "Ready for AI," and supporting Copilot integration
• Optimize data storage and compute using Fabric capacities, partitioning strategies, and workload management
• Implement governance and security controls , including Purview integration, sensitivity labels, and RBAC
• Collaborate with data scientists, BI developers, and compliance teams to deliver reproducible, scalable solutions
• Monitor and troubleshoot pipelines , warehouse performance, and workspace configurations using Fabric Admin Portal and telemetry tools

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees