MS Fabric Data Engineer

Ovation Healthcare

. Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Services .

Posted 9/15/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data pipelines using Microsoft Fabric and Azure Data Services, with a strong focus on data modeling, transformation, and compliance with data governance policies. Proficient in collaborating with cross-functional teams to deliver actionable insights and optimize data workflows.

Highest-signal resume keywords

Microsoft Fabric ExpertiseData Pipeline DevelopmentPySpark/Spark SQL ProficiencyData Governance KnowledgePower BI Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELT WorkflowsSQL ProgrammingPython ProgrammingDelta LakeMedallion ArchitectureAzure Data FactoryDataflows Gen2Azure Synapse AnalyticsLakehouse Architecture

Soft Skills

Analytical AbilitiesProblem-Solving SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

Microsoft FabricAzure Data ServicesPower BISparkNotebooks

Certifications & Qualifications

Fabric Data Engineer Associate (DP-700)Azure Data Engineer AssociateMicrosoft Certified: Data Analyst Associate

Industry Keywords

Data GovernanceCompliance StandardsHIPAA RegulationsCloud InfrastructureData Quality

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure Data Services
Design and implement Lakehouse and Warehouse data models, medallion architecture, and star-schema semantic models optimized for Direct Lake reporting
Build, maintain, and optimize Fabric Notebooks using PySpark, Spark SQL, and/or Python
Ingest, cleanse, and transform data at scale using Spark and Delta Lake performance best practices
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver actionable insights
Implement data ingestion, transformation, and integration workflows using pipelines, Dataflows Gen2, and notebooks
Select appropriate Fabric tools based on complexity, performance, and maintainability
Monitor, troubleshoot, and optimize pipelines, notebooks, and data models for availability and accuracy
Ensure compliance with data governance policies and industry regulations
Document data models, architectures, processes, and workflows
Stay current with Microsoft Fabric and Azure updates and recommend improvements
Support deployment and maintenance of business intelligence and reporting platforms, including Power BI semantic models
Work remotely from the United States with a secure, HIPAA-compliant workspace

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
3+ years of experience in data engineering, data architecture, or a similar role
Proven hands-on experience building data models and Notebooks within Microsoft Fabric (Lakehouse and/or Warehouse)
Demonstrated experience writing PySpark/Spark SQL in a notebook environment for data transformation and pipeline development
Strong programming skills in SQL and at least one language such as Python, Scala, or similar
Experience designing and implementing complex data pipelines and ETL/ELT workflows
Familiarity with cloud infrastructure, security best practices, and compliance standards
Excellent analytical and problem-solving abilities
Strong communication skills and ability to collaborate across technical and business teams
Microsoft Fabric and Azure Data Services expertise, including Lakehouse, Warehouse, OneLake, Delta Lake, medallion architecture, Azure Data Factory/Fabric Pipelines, Dataflows Gen2, Azure Synapse Analytics, and Azure Data Lake
Knowledge of data governance, data quality, and compliance standards
Ability to work with Power BI and understand analytics requirements
Microsoft certifications such as Fabric Data Engineer Associate (DP-700), Azure Data Engineer Associate, or Microsoft Certified: Data Analyst Associate are a plus, not required
Reliable high-speed internet connection and stable Wi-Fi
HIPAA-compliant work environment with secure workspace, no public Wi-Fi unless using a secure company-provided VPN, and compliance with HIPAA regulations

Benefits

Comp & perks

Reliable high-speed internet connection required for remote/hybrid positions
Stable Wi-Fi with sufficient bandwidth for video conferencing, cloud-based tools, and online work
HIPAA-compliant secure workspace requirements
Remote work arrangement