Consulting Data Engineer

Overview

POSITION SUMMARY: 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.

• Design and implement data pipelines using Azure Data Factory, Synapse Pipelines, Fabric Notebooks, and dbt (data build tools)
• Develop and manage Fabric Warehouses and Lake houses, 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

• 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
• Healthcare experience not required but a solid nice to have

• Microsoft certifications (e.g., DP-203, Fabric Data Analyst Associate) are a plus

• 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 , 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

• Experience with Microsoft Fabric REST APIs
• Familiarity with Lang Chain, Semantic Kernel, or
• Knowledge of CMS compliance standards and healthcare data workflows

The physical and mental demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job responsibilities. The role may require standing, walking, sitting for extended periods, using hands to handle objects, reaching, climbing stairs, and other routine activities.

The employee must occasionally lift and/or move up to 20 pounds. Repetitive motion of the upper body is required for extended use of computers. Vision requirements include close, distance, color, peripheral, depth perception, and the ability to adjust focus.

The work environment is remote-based or on-site depending on assignment. On-site environments may include hospital and office settings with typical noise levels. The position may involve exposure to hazards and unusual elements in a hospital environment requiring safety precautions and protective equipment. Travel may be required; the normal expectation is less than 25% overnight travel by land and/or air. Normal business hours are 8 a.m. – 5 p.m., Monday–Friday, with possible variations by business necessity.

Remote workers are expected to be available during normal business hours unless otherwise approved by department leadership.

Lifepoint Health is an Equal Opportunity Employer. Lifepoint Health is committed to Equal Employment Opportunity for all applicants and employees and complies with all applicable laws prohibiting discrimination and harassment in employment.