

MPI Fabric Data & ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an MPI Fabric Data & ML Engineer, 100% remote, on a 6+ month contract, with a pay rate of "TBD." Requires 5+ years in data engineering and ML within Azure, proficiency in Microsoft Fabric, and strong Python/PySpark skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
August 14, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#Data Privacy #CRM (Customer Relationship Management) #Data Engineering #Programming #PySpark #Data Pipeline #Synapse #ML (Machine Learning) #Python #Consulting #Spark (Apache Spark) #Azure #Data Science
Role description
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for worldβs leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.
Role: MPI Fabric Data & ML Engineer
Location: 100% Remote
Duration: 6+ Months Contract
Summary:
Hiring a Data & ML Engineer to support the person matching and identity resolution workflows of the MPI initiative, leveraging Microsoft Fabric, Synapse, and ML capabilities. This role involves creating data pipelines, cleansing and linking records, and operationalizing ML-based entity resolution models.
Key Responsibilities:
β’ Build data pipelines and ML workflows within Microsoft Fabric for entity matching and deduplication across data domains.
β’ Implement and optimize MLOps pipelines (training, scoring, and retraining).
β’ Integrate data from multiple sources: CRM, EHRs, finance, HR, etc.
β’ Develop reusable modules for fuzzy matching, rule-based, and ML-based identity resolution.
β’ Collaborate with data scientists and SMEs to operationalize models using SynapseML, PySpark, or Azure ML.
Required Experience:
β’ 5+ years of experience in data engineering and machine learning in the Azure ecosystem.
β’ Proficient with Microsoft Fabric (Lakehouse, Pipelines, Notebooks), Synapse, and Azure ML.
β’ Solid understanding of identity resolution techniques, especially ML-based approaches.
β’ Strong programming skills in Python and PySpark.
β’ Familiarity with data privacy, governance, and ethics in ML.
For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/.
Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for worldβs leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.
Role: MPI Fabric Data & ML Engineer
Location: 100% Remote
Duration: 6+ Months Contract
Summary:
Hiring a Data & ML Engineer to support the person matching and identity resolution workflows of the MPI initiative, leveraging Microsoft Fabric, Synapse, and ML capabilities. This role involves creating data pipelines, cleansing and linking records, and operationalizing ML-based entity resolution models.
Key Responsibilities:
β’ Build data pipelines and ML workflows within Microsoft Fabric for entity matching and deduplication across data domains.
β’ Implement and optimize MLOps pipelines (training, scoring, and retraining).
β’ Integrate data from multiple sources: CRM, EHRs, finance, HR, etc.
β’ Develop reusable modules for fuzzy matching, rule-based, and ML-based identity resolution.
β’ Collaborate with data scientists and SMEs to operationalize models using SynapseML, PySpark, or Azure ML.
Required Experience:
β’ 5+ years of experience in data engineering and machine learning in the Azure ecosystem.
β’ Proficient with Microsoft Fabric (Lakehouse, Pipelines, Notebooks), Synapse, and Azure ML.
β’ Solid understanding of identity resolution techniques, especially ML-based approaches.
β’ Strong programming skills in Python and PySpark.
β’ Familiarity with data privacy, governance, and ethics in ML.
For more information and other jobs available please contact our recruitment team at careers@tekfortune.com. To view all the jobs available in the USA and Asia please visit our website at https://www.tekfortune.com/careers/.