The Planet Group
Azure - Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Sr. Data Engineer with a 6+ month contract, located onsite in Chicago Downtown. Requires 7+ years of data engineering experience, strong SQL and Python skills, and 2+ years with Azure Data Factory and Databricks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#SQL (Structured Query Language) #Automation #TypeScript #Spring Boot #Data Pipeline #Python #Documentation #Databricks #Data Engineering #Azure SQL #ADF (Azure Data Factory) #Azure Data Factory #R #Monitoring #"ETL (Extract #Transform #Load)" #ADLS (Azure Data Lake Storage) #Logging #Data Quality #Java #Code Reviews #Azure Portal #Infrastructure as Code (IaC) #Spark (Apache Spark) #Storage #.Net #Azure #Angular #Triggers #Datasets #PySpark
Role description
W2 AND LOCAL CANDIDATES ONLY
NO 3rd party candidates please
Duration - 6+ months
Location - Chicago Downtown - onsite Tue, Wed and Thu
Key Responsibilities
• Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing).
• Develop and optimize SQL and PySpark/Databricks transformations for large datasets.
• Build production-grade Python components (reusable modules, logging, error handling, testing).
• Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling).
• Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations).
• Provision and maintain Azure components using Pulumi (Infrastructure as Code).
• Participate in code reviews, documentation, and operational support
Must-have Skills (Required)
• 7+ years experience as a data engineer
• 3+ years doing ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.
• 3+ years in SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation.
• 2+ years using Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).
• PySpark: Distributed transformations and performance optimization, CICD, Unit Test/Integration test automation, Code Coverage.
• 2+ years using Azure Data Factory (ADF)
• 2+ year using Databricks
• Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments.
Nice-to-have Skills
• R: Ability to support/translate validation rules with SQL scripts and create data quality reports.
• TypeScript: Useful for pulumi pipeline to create Azure components.
• Java: Useful for integration with existing services/components.
• .NET: Useful for integration with existing services/components.
• Angular / Spring Boot: Minor troubleshooting or coordination with app teams.
Domain : Clinical (Health care) – Nice to have.
#TECH #Chicagohybrid
W2 AND LOCAL CANDIDATES ONLY
NO 3rd party candidates please
Duration - 6+ months
Location - Chicago Downtown - onsite Tue, Wed and Thu
Key Responsibilities
• Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing).
• Develop and optimize SQL and PySpark/Databricks transformations for large datasets.
• Build production-grade Python components (reusable modules, logging, error handling, testing).
• Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling).
• Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations).
• Provision and maintain Azure components using Pulumi (Infrastructure as Code).
• Participate in code reviews, documentation, and operational support
Must-have Skills (Required)
• 7+ years experience as a data engineer
• 3+ years doing ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.
• 3+ years in SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation.
• 2+ years using Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).
• PySpark: Distributed transformations and performance optimization, CICD, Unit Test/Integration test automation, Code Coverage.
• 2+ years using Azure Data Factory (ADF)
• 2+ year using Databricks
• Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments.
Nice-to-have Skills
• R: Ability to support/translate validation rules with SQL scripts and create data quality reports.
• TypeScript: Useful for pulumi pipeline to create Azure components.
• Java: Useful for integration with existing services/components.
• .NET: Useful for integration with existing services/components.
• Angular / Spring Boot: Minor troubleshooting or coordination with app teams.
Domain : Clinical (Health care) – Nice to have.
#TECH #Chicagohybrid
