JOB DETAILS

Microsoft Fabric Data Engineer

CompanyXpress Wellness Urgent Care
LocationDallas
Work ModeOn Site
PostedApril 4, 2026
About The Company
Xpress Wellness Urgent Care provides pediatric and adult health care for non-life-threatening illnesses or injuries on a walk-in basis. We are open seven days a week and offer: • Occupational medicine • Urgent care • Sports medicine • Virtual Primary Care Each medical center features private exam rooms, a triage room, a procedure room and is equipped with computerized radiology services, lab services, diagnostic testing and EKG on site. For convenience, check in online from anywhere to minimize wait time. Xpress Wellness Urgent Care is a privately held health care company based in Oklahoma and founded by Dr. Scott Williams. Dr. Williams graduated from Oklahoma State University College of Osteopathic Medicine and is board certified through the American Board of Osteopathic Family Practitioners. He served as Chief of Staff for Great Plains Regional Medical Center in Elk City, Oklahoma, and has been in family practice since 1999 with special interests in obstetrics and sports medicine.
About the Role

Description

The Microsoft Fabric Data Engineer is responsible for designing, building, and maintaining scalable, secure, and high-performance data pipelines and data models within Microsoft Fabric. This role focuses on ingesting data from multiple enterprise source systems into OneLake, transforming data across Bronze, Silver, and Gold layers, and enabling trusted, analytics-ready datasets for reporting, dashboards, and advanced analytics.

The ideal candidate has hands-on experience with Microsoft Fabric, Lakehouse architecture, and modern ELT patterns, and works closely with Power BI developers and business stakeholders to deliver reliable and governed data solutions.

Requirements

Data Engineering & Pipelines

  • Design, develop, and maintain end to end data pipelines in Microsoft Fabric using Pipelines, Dataflows Gen2, and Notebooks
  • Ingest structured and semi structured data from SQL databases, APIs, SFTP, CSV, SaaS platforms, and file based sources into OneLake
  • Implement incremental and full load ingestion strategies with error handling, logging, and monitoring

Lakehouse & Data Modeling

  • Build and manage Lakehouse architectures following Bronze, Silver, and Gold data patterns
  • Perform data cleansing, standardization, and transformation to produce analytics ready fact and dimension tables
  • Optimize data models to support Direct Lake and Power BI semantic models

Performance, Reliability & Optimization

  • Optimize pipeline execution, storage layout, and query performance across Fabric workloads
  • Monitor capacity usage and proactively identify performance bottlenecks
  • Troubleshoot and resolve data quality, pipeline, and refresh failures

Security, Governance & Compliance

  • Implement data security controls using Microsoft Entra ID, workspace roles, and access policies
  • Support data governance, lineage, and cataloging through Microsoft Purview
  • Follow enterprise standards for data retention, privacy, and compliance (HIPAA/HITRUST where applicable)

Collaboration & Delivery

  • Partner with Power BI Developers to ensure datasets are optimized for reporting and analytics
  • Work with business and analytics teams to understand data requirements and translate them into technical solutions
  • Support UAT, production deployments, and ongoing enhancements

DevOps & Best Practices

  • Participate in CI/CD processes using Azure DevOps or equivalent tooling for data assets
  • Maintain technical documentation, data dictionaries, and pipeline design artifacts
  • Contribute to data engineering standards, frameworks, and reusable patterns


Qualifications:

Education:

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience)

Qualifications:

  • Hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, OneLake)
  • Strong proficiency in SQL and data transformation logic
  • Experience with modern data architecture concepts (ELT, Lakehouse, dimensional modeling)
  • Experience with Azure data services (Azure Data Factory, Synapse, SQL, Storage)
  • Familiarity with Power BI and Direct Lake integration patterns
  • Experience with CI/CD for data platforms
  • Healthcare or regulated-industry data experience
  • Microsoft Fabric, Azure Data Engineer, or related certifications

Skills:

  • Strong analytical and problem-solving skills
  • High attention to data accuracy, quality, and reliability
  • Ability to work cross-functionally with technical and non-technical stakeholders
  • Strong documentation and communication skills
  • Ability to manage multiple data initiatives in parallel
Key Skills
Microsoft FabricData EngineeringSQLLakehouse ArchitecturePower BIData PipelinesELTData ModelingAzure Data FactorySynapseCI/CDData GovernanceMicrosoft PurviewMicrosoft Entra IDDirect LakeData Transformation
Categories
Data & AnalyticsTechnologySoftwareEngineering
Job Information
📋Core Responsibilities
The Microsoft Fabric Data Engineer designs, builds, and maintains scalable data pipelines and Lakehouse architectures within the Microsoft Fabric ecosystem. They collaborate with Power BI developers and business stakeholders to ensure the delivery of high-performance, analytics-ready datasets.
📋Job Type
full time
📊Experience Level
2-5
💼Company Size
297
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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