Data Engineer, MS Fabric

🕒 September 15

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ovation Healthcare

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 45 years

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Ovation Healthcare is a leading provider of shared services for independent hospitals and health systems. With over 45 years of experience, the company enhances hospital and system performance through services like leadership advisory, supply chain management, revenue cycle management, technology services, and clinical care management. Ovation Healthcare is dedicated to supporting the financial and clinical needs of hospitals while preserving their focus on patient care and community wellness. Their educational programs and consulting services aim to strengthen hospital operations, making healthcare delivery more efficient and effective.

📋 Description

• Design, develop, and maintain scalable, reliable, and efficient data pipelines using Microsoft Fabric and Azure Data Services • Design and implement Microsoft Fabric data models, including Lakehouse and Warehouse architectures, medallion layering, and star-schema semantic models optimized for Direct Lake reporting • Build, maintain, and optimize Fabric Notebooks using PySpark, Spark SQL, and/or Python for large-scale data transformation • 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 data requirements and deliver actionable insights • Implement data ingestion, transformation, and integration workflows using pipelines, Dataflows Gen2, and notebooks • Evaluate Fabric tools based on complexity, performance, and maintainability tradeoffs • Monitor, troubleshoot, and optimize data pipelines, notebooks, and data models • Ensure data solutions comply with organizational data governance policies and industry regulations • Document data models, architectures, processes, and workflows • Stay current with Microsoft Fabric and Azure ecosystem updates and recommend improvements or new technologies • Support deployment and maintenance of business intelligence and reporting platforms, including Power BI semantic models built on Fabric data

🎯 Requirements

• 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 with the ability to collaborate effectively across technical and business teams • Microsoft certifications such as Fabric Data Engineer Associate (DP-700), Azure Data Engineer Associate, or Microsoft Certified: Data Analyst Associate are a plus • Expertise in Microsoft Fabric data modeling and engineering, including Lakehouse and Warehouse architecture, OneLake, Delta Lake tables, medallion architecture, and star-schema semantic models for Direct Lake or Import mode reporting • Hands-on proficiency with Fabric Notebooks using PySpark, Spark SQL, and/or Python, including Spark performance tuning • Proficiency with Microsoft Fabric and Azure Data Services, including Data Factory/Fabric Pipelines, Dataflows Gen2, Azure Synapse Analytics, and Azure Data Lake • Understanding of ETL/ELT processes, data pipeline architecture, and data integration • Familiarity with cloud computing platforms and scalability and security best practices • Knowledge of data governance, data quality, and compliance standards • Ability to work with Power BI and understand analytics requirements • Ability to optimize performance in large data environments

🏖️ Benefits

• Reliable high-speed internet connection required for remote/hybrid positions • Stable Wi-Fi with sufficient bandwidth to support video conferencing, cloud-based tools, and other online work-related activities • HIPAA-compliant work environment requirements, including a secure workspace and secure VPN use when accessing public Wi-Fi