Lorven Technologies Inc.
Data Engineer (AWS+ Azure Fabric+ Power BI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (AWS + Azure Fabric + Power BI) for a contract position in Chicago, IL, or Phoenix, AZ. Key skills include Data Factory, ELT/ETL, Spark, and experience in the Manufacturing domain is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#ADLS (Azure Data Lake Storage) #Datasets #Scala #Spark SQL #Cloud #Monitoring #Spark (Apache Spark) #Security #Delta Lake #PySpark #BI (Business Intelligence) #SQL (Structured Query Language) #Storage #Microsoft Power BI #Data Cleansing #Data Ingestion #Azure #Data Security #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Automation #Data Processing #Data Engineering #Computer Science
Role description
Title: Data Engineer (AWS+ Azure Fabric+ Power BI)
Location: Chicago, IL, Phoeniz, AZ
Contract
Must Skills: Data, Microsoft Fabric, Data Factory, ELT/ETL, Spark, One Lake, AWS or Azure.
Responsibilities:
• Builds and maintains ELT/ETL pipelines using Microsoft Fabric tools, enabling efficient data ingestion from multiple resources.
• Applies transformations, cleanses, and enriches data to ensure it is ready for analyzing and reporting
• Handles large datasets, optimizing storage and retrieval for performance.
• Implements automation for data processing and integration workflows, reducing manual intervention
• Works with Platform Architects to ensure infrastructure supports data requirements.
• Partners with Report developers to ensure that data is in a usable format and ready for analysis.
• Ensuring code reusability and parameterization
• Focuses on creating interactive, intuitive reports and dashboards using Microsoft Fabric's reporting tools.
Qualifications:
• Data Factory (in Fabric): Designing and orchestrating data ingestion and transformation pipelines (ETL/ELT).
• Data Engineering Experience (Spark): Using Notebooks (PySpark, Spark SQL, Scala) and Spark Job Definitions for complex data processing, cleansing, enrichment, and large-scale transformations directly on OneLake data.
• Lakehouse Items: Creating and managing Lakehouse structures (Delta tables, files) as the primary landing and processing zone within OneLake.
• OneLake / ADLS Gen2: Understanding storage structures, Delta Lake format, partitioning strategies, and potentially managing Shortcuts.
• Monitoring Hubs: Tracking pipeline runs and Spark job performance.
• Core Responsibilities (Fabric Context): Building ingestion pipelines from diverse sources; implementing data cleansing and quality rules; transforming raw data into curated Delta tables within Lakehouses or Warehouses; optimizing Spark jobs and data layouts for performance and cost; managing pipeline schedules and dependencies; ensuring data security and governance principles are applied to pipelines and data structures.
• Excellent Communicator and collaboration skills
• Bachelor’s degree in Computer Science, Engineering, or a relevant field
• Azure/AWS Cloud Certifications will be a plus
• Experience with Manufacturing domain will be a plus.
• Should be self-driven and be able to drive the projects to delivery
Title: Data Engineer (AWS+ Azure Fabric+ Power BI)
Location: Chicago, IL, Phoeniz, AZ
Contract
Must Skills: Data, Microsoft Fabric, Data Factory, ELT/ETL, Spark, One Lake, AWS or Azure.
Responsibilities:
• Builds and maintains ELT/ETL pipelines using Microsoft Fabric tools, enabling efficient data ingestion from multiple resources.
• Applies transformations, cleanses, and enriches data to ensure it is ready for analyzing and reporting
• Handles large datasets, optimizing storage and retrieval for performance.
• Implements automation for data processing and integration workflows, reducing manual intervention
• Works with Platform Architects to ensure infrastructure supports data requirements.
• Partners with Report developers to ensure that data is in a usable format and ready for analysis.
• Ensuring code reusability and parameterization
• Focuses on creating interactive, intuitive reports and dashboards using Microsoft Fabric's reporting tools.
Qualifications:
• Data Factory (in Fabric): Designing and orchestrating data ingestion and transformation pipelines (ETL/ELT).
• Data Engineering Experience (Spark): Using Notebooks (PySpark, Spark SQL, Scala) and Spark Job Definitions for complex data processing, cleansing, enrichment, and large-scale transformations directly on OneLake data.
• Lakehouse Items: Creating and managing Lakehouse structures (Delta tables, files) as the primary landing and processing zone within OneLake.
• OneLake / ADLS Gen2: Understanding storage structures, Delta Lake format, partitioning strategies, and potentially managing Shortcuts.
• Monitoring Hubs: Tracking pipeline runs and Spark job performance.
• Core Responsibilities (Fabric Context): Building ingestion pipelines from diverse sources; implementing data cleansing and quality rules; transforming raw data into curated Delta tables within Lakehouses or Warehouses; optimizing Spark jobs and data layouts for performance and cost; managing pipeline schedules and dependencies; ensuring data security and governance principles are applied to pipelines and data structures.
• Excellent Communicator and collaboration skills
• Bachelor’s degree in Computer Science, Engineering, or a relevant field
• Azure/AWS Cloud Certifications will be a plus
• Experience with Manufacturing domain will be a plus.
• Should be self-driven and be able to drive the projects to delivery
