PEOPLE FORCE CONSULTING INC
Data Engineer - Hybrid in Chicago
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Chicago (hybrid, 3 days/week) for 6-12 months, offering a competitive pay rate. Key skills include Python, PySpark, SQL, AWS, Terraform, and Angular; 8+ years of experience and an engineering degree are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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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
#Scala #IAM (Identity and Access Management) #Cloud #Azure DevOps #Spark (Apache Spark) #Lambda (AWS Lambda) #Angular #Terraform #Databricks #PySpark #S3 (Amazon Simple Storage Service) #Python #SQL (Structured Query Language) #Version Control #Azure #DevOps #GIT #SNS (Simple Notification Service) #Deployment #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Data Processing #Data Engineering
Role description
Strong Data Engineer with expertise in ETL, Python, SQL, and hands‑on experience in PySpark, Databricks, AWS, Terraform, Angular, and CI/CD tools.
Responsibilities: -
• Develop and manage ETL processes using Python, PySpark, and SQL.
• Work with Databricks for data processing.
• Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
• Familiarity with Terraform for infrastructure management.
• Work with Angular for front-end integration.
• Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
• Basic knowledge of Scala and HL7 is a plus.
Experience: -
• 8+ Years
Location: -
• Chicago, IL (3day/week)
Tentative Duration - 6 - 12 months
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory Skills
• Strong experience in Python, PySpark, and SQL
• Angular for front-end development
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
• Terraform knowledge
• Experience with Git, Octopus, and Azure DevOps for CI/CD.
Good to have skills: -
• Experience PySpark, Databricks, AWS, Terraform, Angular
Strong Data Engineer with expertise in ETL, Python, SQL, and hands‑on experience in PySpark, Databricks, AWS, Terraform, Angular, and CI/CD tools.
Responsibilities: -
• Develop and manage ETL processes using Python, PySpark, and SQL.
• Work with Databricks for data processing.
• Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
• Familiarity with Terraform for infrastructure management.
• Work with Angular for front-end integration.
• Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
• Basic knowledge of Scala and HL7 is a plus.
Experience: -
• 8+ Years
Location: -
• Chicago, IL (3day/week)
Tentative Duration - 6 - 12 months
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Mandatory Skills
• Strong experience in Python, PySpark, and SQL
• Angular for front-end development
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
• Terraform knowledge
• Experience with Git, Octopus, and Azure DevOps for CI/CD.
Good to have skills: -
• Experience PySpark, Databricks, AWS, Terraform, Angular
