What are the responsibilities and job description for the Senior Python Data Engineer (ETL / APIs) position at Prairie Consulting Services?
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
- Build data pipelines sourcing from Snowflake
- Perform data transformations using Python & Pandas
- Develop internal APIs (FastAPI / REST) to expose data
- Work with teams to support deployment pipelines (Docker / Kubernetes)
- Implement data quality checks and validation logic
- Contribute to best practices around data integration and performance
Senior Python Data Engineer (ETL / APIs) - What We’re Looking For
- Strong hands-on experience with Python
- Experience with Snowflake and data sourcing
- Solid understanding of ETL / data engineering concepts
- Experience with Pandas for data manipulation
- Experience building APIs (FastAPI or similar)
- Exposure to Docker / Kubernetes
- Ability to work independently and solve problems without heavy direction
Nice to Have
- Kafka or event-driven architecture
- Experience in financial services or other regulated environments
- CI/CD and deployment pipeline experience
Senior Python Data Engineer (ETL / APIs) - Why This Role
- Net new build – not a maintenance role
- High visibility, critical initiative
- Opportunity to work across both data backend engineering
- Fast-moving team looking to hire ASAP
Location Requirement
- Must be able to work onsite in Chicago (Wabash area)
- $65-70 /hr W2
Salary : $65 - $70