Prairie Consulting Services

Senior Python Data Engineer (ETL / APIs)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Python Data Engineer (ETL / APIs) in Chicago, IL, with a contract length of unspecified duration. Pay rate is $65-70+/hr. Key skills required include Python, Snowflake, ETL concepts, Pandas, and API development.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date
April 7, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Kubernetes #API (Application Programming Interface) #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka) #Data Integration #Deployment #Data Quality #Snowflake #Python #Data Engineering #Data Transformations #Data Manipulation #Docker #REST (Representational State Transfer) #Data Pipeline #Pandas #FastAPI
Role description
Senior Python Data Engineer (ETL / APIs) Chicago, IL (Onsite – Wabash) We’re looking for a Senior Python Data Engineer to join a high-impact initiative building out a net new platform within a large, enterprise environment. This is a hands-on role where you’ll help shape how data is sourced, transformed, and exposed across a critical application. If you enjoy working across data engineering + backend API development, this is a strong opportunity to get in early and make an impact. Senior Python Data Engineer (ETL / APIs) - What You’ll Be Doing β€’ Build data pipelines sourcing from Snowflake β€’ Perform data transformations using Python & Pandas β€’ Develop internal APIs (FastAPI / REST) to expose data β€’ Work with teams to support deployment pipelines (Docker / Kubernetes) β€’ Implement data quality checks and validation logic β€’ Contribute to best practices around data integration and performance Senior Python Data Engineer (ETL / APIs) - What We’re Looking For β€’ Strong hands-on experience with Python β€’ Experience with Snowflake and data sourcing β€’ Solid understanding of ETL / data engineering concepts β€’ Experience with Pandas for data manipulation β€’ Experience building APIs (FastAPI or similar) β€’ Exposure to Docker / Kubernetes β€’ Ability to work independently and solve problems without heavy direction Nice to Have β€’ Kafka or event-driven architecture β€’ Experience in financial services or other regulated environments β€’ CI/CD and deployment pipeline experience Senior Python Data Engineer (ETL / APIs) - Why This Role β€’ Net new build – not a maintenance role β€’ High visibility, critical initiative β€’ Opportunity to work across both data + backend engineering β€’ Fast-moving team looking to hire ASAP Location Requirement β€’ Must be able to work onsite in Chicago (Wabash area) β€’ $65-70+/hr W2