VBeyond Corporation
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in Chicago, IL, on a contract basis for 3 days onsite per week, offering competitive pay. Key skills include AWS, Python, SQL, ETL, and PySpark, with 9+ years of experience required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 16, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure DevOps #GIT #SNS (Simple Notification Service) #"ETL (Extract #Transform #Load)" #Databricks #Azure #Python #IAM (Identity and Access Management) #Spark (Apache Spark) #Deployment #DevOps #Scala #Data Processing #AWS (Amazon Web Services) #Version Control #Data Engineering #S3 (Amazon Simple Storage Service) #Lambda (AWS Lambda) #Terraform #Data Pipeline #PySpark #Angular #Cloud
Role description
Job Description
Job Title : - Sr. Data Engineer
Location : - Chicago ,IL (3 days onsite/Week)
Type of Employment : - Contract
Skills: - AWS, Python, SQL & ETL
Mandatory skills
• Strong ETL
• Python
• SQL
• PySpark
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
What is in it for you?
Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
• Perform 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.
• Support CI/CD processes using Git, Octopus, and Azure DevOps.
• Work within cloud-based data engineering environments and data processing frameworks.
Experience: -
• 9+ Years
Location: -
• Chicago, IL(3 days/Week)
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
Job Description
Job Title : - Sr. Data Engineer
Location : - Chicago ,IL (3 days onsite/Week)
Type of Employment : - Contract
Skills: - AWS, Python, SQL & ETL
Mandatory skills
• Strong ETL
• Python
• SQL
• PySpark
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda)
What is in it for you?
Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern DevOps practices.
Responsibilities: -
• Perform 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.
• Support CI/CD processes using Git, Octopus, and Azure DevOps.
• Work within cloud-based data engineering environments and data processing frameworks.
Experience: -
• 9+ Years
Location: -
• Chicago, IL(3 days/Week)
Educational Qualifications: -
• Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.
• Technical certification in multiple technologies is desirable.
