SWIFT HIRE LLC
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Chicago, IL (hybrid) for a 6+ month contract at $60-$65/hr. Requires 8+ years of experience, expertise in SQL Server, Azure SQL, Databricks, and strong skills in ETL/ELT, Python, and Azure Data Factory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
June 30, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Triggers #Spark (Apache Spark) #Delta Lake #Spring Boot #Logging #Datasets #.Net #Azure Portal #Data Engineering #Infrastructure as Code (IaC) #Code Reviews #Data Pipeline #Automation #Python #Azure SQL #Cloud #PySpark #ADLS (Azure Data Lake Storage) #SQL Server #Azure #Documentation #Angular #Azure Data Factory #SQL (Structured Query Language) #Databricks #Java #ADF (Azure Data Factory) #TypeScript #"ETL (Extract #Transform #Load)" #Scala
Role description
Job Description:
📍 Location: Chicago, IL – Hybrid (3 days onsite) | Local Candidates Only
💼 Type: Contract (6+ Months)
💰 Bill Rate: $60-$65/hr
🎯 Experience: 8+ Years
Role Overview:
Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions for analytics and enterprise data platforms.
Key Responsibilities:
• Design and build 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 with triggers, parameterization, and failure handling
• Provision and maintain Azure infrastructure using Pulumi (IaC)
• Participate in code reviews, documentation, and operational support (triage + RCA)
Must-Have Skills:
• ETL/ELT pipeline patterns, incremental loads, data validation
• Advanced SQL (CTEs, views, complex joins, performance tuning)
• Python – production-quality, CI/CD, unit/integration test automation
• PySpark – distributed transformations, performance optimization
• Azure Data Factory (ADF) – build, operate, monitor pipelines
• Databricks – notebooks, Delta Lake, jobs/workflows
• Azure Stack – ADLS Gen2, Azure SQL, Azure Portal, Pulumi (IaC)
Nice to Have: TypeScript, Java, .NET, Angular/Spring Boot, Healthcare/Clinical domain
Job Description:
📍 Location: Chicago, IL – Hybrid (3 days onsite) | Local Candidates Only
💼 Type: Contract (6+ Months)
💰 Bill Rate: $60-$65/hr
🎯 Experience: 8+ Years
Role Overview:
Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions for analytics and enterprise data platforms.
Key Responsibilities:
• Design and build 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 with triggers, parameterization, and failure handling
• Provision and maintain Azure infrastructure using Pulumi (IaC)
• Participate in code reviews, documentation, and operational support (triage + RCA)
Must-Have Skills:
• ETL/ELT pipeline patterns, incremental loads, data validation
• Advanced SQL (CTEs, views, complex joins, performance tuning)
• Python – production-quality, CI/CD, unit/integration test automation
• PySpark – distributed transformations, performance optimization
• Azure Data Factory (ADF) – build, operate, monitor pipelines
• Databricks – notebooks, Delta Lake, jobs/workflows
• Azure Stack – ADLS Gen2, Azure SQL, Azure Portal, Pulumi (IaC)
Nice to Have: TypeScript, Java, .NET, Angular/Spring Boot, Healthcare/Clinical domain
