Lifepoint Health®

Data Engineer

Lifepoint Health®

full-time

Posted on:

Location Type: Remote

Location: Tennessee • United States

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Tech Stack

AzureCloudETLPythonSparkSQLVault

About the role

  • 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

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
Benefits
  • Remote based
  • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job responsibilities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
T-SQLPythonSparkdata modelingETLELTsemantic layer designdata pipeline designdata integrationperformance optimization
Soft skills
collaborationcommunicationproblem-solvingcross-functional teamworktechnical concept explanation
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Data Engineering