Azure Data Engineer - Healthcare Data Expertise

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with healthcare data expertise, offering a contract of unspecified length and a competitive pay rate. Key skills include Azure Databricks, ADF, FHIR data, and modern data architecture. Requires 6+ years in data engineering.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
760
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πŸ—“οΈ - Date discovered
May 22, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Consul #Metadata #Azure Data Factory #ADF (Azure Data Factory) #Databricks #Data Lake #Consulting #Spark (Apache Spark) #Data Engineering #Azure Databricks #Data Ingestion #Microsoft Power BI #Data Architecture #FHIR (Fast Healthcare Interoperability Resources) #"ETL (Extract #Transform #Load)" #Scala #Storage #Data Integration #Data Pipeline #BI (Business Intelligence) #Monitoring #Delta Lake #Data Lakehouse #Data Processing #Azure
Role description
Job Description Seha Consulting seeks a healthcare focused data architect with experience in building modern data platforms. β€’ Experience with EMR data (Epic, Cerner) β€’ Experience with FHIR data and Claims data analytics β€’ Deep expertise in modern data architecture, with specific experience in Microsoft's data platform and Delta Lake architecture. β€’ 6+ years of experience in data architecture and engineering. β€’ Required 2+ years hands-on experience with Azure Databricks / ADF and Spark. β€’ Required recent experience with Microsoft Fabric platform. Key Responsibilities: β€’ Data Architecture: β€’ Design end-to-end data architecture leveraging Microsoft Fabric's capabilities. β€’ Design data flows within the Microsoft Fabric environment. β€’ Implement OneLake storage strategies. β€’ Establish Power BI integration patterns. β€’ Integration Design: β€’ Architect data integration patterns with analytics using Azure Data Factory and Microsoft Fabric. β€’ Implement medallion architecture (Bronze/Silver/Gold layers). β€’ Ability to configure real-time data ingestion patterns. β€’ Lakehouse Architecture: β€’ Implement modern data Lakehouse architecture and discern when to use Fabric Warehouse vs Fabric Lakehouse platforms β€’ Pipeline Development: β€’ Design scalable data pipelines using Azure Data Factory for ETL/ELT processes. β€’ Have experience with metadata driven pipelines. β€’ Combining and cleansing data from various sources. β€’ Creating, orchestrating, and troubleshooting data pipelines. β€’ Implement performance tuning strategies for large-scale data processing and analytics workloads. β€’ Establish monitoring frameworks.