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Azure / Fabric Data Engineer
- Location: Deerfield Beach, Florida 33442
- Work model: On-site
- Posted Yesterday
- Job ID: JPC - 211920
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Job Description
Azure / Fabric Data Engineer - 12+ Month Contract | Onsite 3x/Week | Deerfield Beach, FL
About the Role
JM Family Enterprises seeks a hands-on Azure / Fabric Data Engineer to drive both new Microsoft Fabric buildouts and Synapse-to-Fabric modernization for high-impact BI and data science initiatives. Join a collaborative data engineering group as the Fabric SME, partnering closely with architects, engineers, and business teams to deliver production-ready data solutions and accelerate our journey into next-generation analytics.
Responsibilities
- Lead the design, development, and deployment of end-to-end data pipelines using Microsoft Fabric, including notebooks, pipelines, OneLake solutions, and medallion architecture patterns.
- Translate enterprise architecture reference models into compliant, scalable Fabric implementations for business and data science teams.
- Migrate selected workloads from Azure Synapse to Fabric, ensuring data integrity and optimizing performance.
- Build and curate distinct datasets tailored for Power BI and data science consumption.
- Develop ETL/ELT workflows leveraging Azure Data Factory, SQL, Python, and Fabric orchestration tools.
- Collaborate with data scientists to prepare and engineer features, supporting advanced analytics and machine learning efforts.
- Operate as a self-directed subject matter expert, adhering to enterprise standards and contributing within Agile / CI/CD environments.
- Communicate project status, track deliverables, and report progress as part of Agile sprints.
- Engage with a dynamic team in a hybrid work setting, onsite three days per week at our Deerfield Beach campus.
Required Skills and Experience
- Proven hands-on expertise with Microsoft Fabric: pipelines, notebooks, OneLake, medallion architecture.
- Robust Azure data engineering background: Synapse, Data Factory, SQL, Python, ETL/ELT, and practical data modeling.
- Strong ability to work independently and collaboratively as an SME in a modern Agile, CI/CD-driven environment.
- Experience preparing data for both BI visualization and data science teams.
Preferred Skills
- Familiarity with Bicep and infrastructure-as-code concepts (direct ownership not required).
- Exposure to feature engineering for machine learning data needs.
- Experience supporting large-scale data modernization and migration projects.
Benefits
- Long-term contract with high-impact, visible projects.
- Opportunity to lead early-stage Microsoft Fabric adoption and modernization efforts.
- Direct collaboration with enterprise architects, data scientists, and business stakeholders.
- Modern, collaborative onsite work environment (3 days/week) with strong company culture.
- Fast-paced, Agile setting supporting innovation and professional growth.
How to Apply
Qualified candidates authorized to work in the US are encouraged to submit their resume and a brief summary of relevant Microsoft Fabric and Azure data engineering experience. Local candidates able to work onsite in Deerfield Beach, FL, three days per week are prioritized. Background check and drug screening required.
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Job details
Job ID JPC - 211920
Location Deerfield Beach, Florida, United States
Work Model On-site
Job Type Contract
Posted October 28, 2026
Skills This position is onsite 3 days a week from Day 1 of the contract @ 100 Jim Moran Blvd Deerfield Beach FL 33442Combination of new Fabric buildout and Synapse-to-Fabric modernization with visible use cases across BI and data scienceMust Have Requirements:• Demonstrated hands-on Microsoft Fabric data engineering experience including building pipelines Notebooks OneLake solutions and medallion architecture patterns • Strong Azure data engineering background across Synapse SQL Python ETL/ELT Azure Data Factory and practical data modeling• Ability to operate as a self-directed SME who can partner with architects and engineers follow enterprise standards and deliver in an Agile / CI/CD environment
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