MSH
Fabric Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fabric Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Data Factory, Spark, ETL, and data quality. Experience in Agile methodologies and Delta Lake is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 12, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#Spark (Apache Spark) #Delta Lake #"ETL (Extract #Transform #Load)" #Agile #Data Ingestion #Datasets #UAT (User Acceptance Testing) #Data Framework #Data Quality #Dataflow #Monitoring #Documentation #Data Engineering
Role description
Builds, maintains, and optimizes data ingestion pipelines, Lakehouse tables, transformation logic, data quality checks, and operational workflows within Microsoft Fabric.
Key Responsibilities:
• Architect and maintain medallion data frameworks.
• Build ingestion pipelines using Data Factory, Spark Notebooks, Dataflows Gen2, Event Streams, and Lakehouse connectors.
• Develop Silver/Gold transformations including cleansing, enrichment, merging, and standardization.
• Implement data quality checks, validation rules, auditing columns, and error-handling patterns.
• Optimize Lakehouse and Delta Lake operations (schema evolution, partitioning, Z-Order, caching, vacuum, compaction).
• Support production operations including monitoring, incident triage, defect resolution, and performance tuning.
• Create/Maintain mapping sheets, schema documentation, lineage diagrams, and runbooks.
• Coordinate with analytics teams to prepare model-ready Gold datasets.
• Participate in Agile ceremonies, design reviews, and technical planning.
• Support UAT, test data preparation, and validation activities.
Builds, maintains, and optimizes data ingestion pipelines, Lakehouse tables, transformation logic, data quality checks, and operational workflows within Microsoft Fabric.
Key Responsibilities:
• Architect and maintain medallion data frameworks.
• Build ingestion pipelines using Data Factory, Spark Notebooks, Dataflows Gen2, Event Streams, and Lakehouse connectors.
• Develop Silver/Gold transformations including cleansing, enrichment, merging, and standardization.
• Implement data quality checks, validation rules, auditing columns, and error-handling patterns.
• Optimize Lakehouse and Delta Lake operations (schema evolution, partitioning, Z-Order, caching, vacuum, compaction).
• Support production operations including monitoring, incident triage, defect resolution, and performance tuning.
• Create/Maintain mapping sheets, schema documentation, lineage diagrams, and runbooks.
• Coordinate with analytics teams to prepare model-ready Gold datasets.
• Participate in Agile ceremonies, design reviews, and technical planning.
• Support UAT, test data preparation, and validation activities.
