Date Posted: 04/03/2026
Hiring Organization: Rose International
Position Number: 499376
Industry: Financial Services
Job Title: Senior Python Data Engineer (Pandas, Snowpark, FastAPI, Kubernetes)
Job Location: Chicago, IL, USA, 60604
Work Model: Hybrid
Work Model Details: Three Times a Week is mandotary
Shift: 8 am to 5pm CST
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 10
Min Hourly Rate($): 70.00
Max Hourly Rate($): 72.00
Must Have Skills/Attributes: Docker, Kafka, Kubernetes, Python, Snowflake, SQL
Experience Desired: Design & Build Data Pipelines (10 yrs); Snowflake Engineering (10 yrs); Build RESTful/JSON APIs and backend services in FastAPI to expose data and business logic (10 yrs)
Required Minimum Education: Bachelor’s Degree
Job Description
REQUIRED EDUCATION
• Not explicitly stated in the original posting.
REQUIRED SKILLS
• Python expertise with deep experience in pandas for ETL/ELT and data wrangling (vectorization, memory management, IO, time series).
• Hands-on experience with Snowflake (SQL, performance tuning, warehouse configuration).
• Hands-on experience with Snowpark (Python) for scalable transformations.
• Strong FastAPI experience building production services (dependency injection, Pydantic models, async IO).
• Practical knowledge of Kafka (consumer groups, offsets, partitions, schema management).
• Experience designing event-driven microservices.
• Proficiency with Docker and Kubernetes (deployment strategies, networking, volumes; service meshes a plus).
• Solid understanding of testing, code quality, design patterns, API design, and clean architecture.
• Experience with CI/CD (GitHub Actions, GitLab CI, or Azure DevOps).
• Experience with IaC (Terraform or Helm preferred).
• Familiarity with data modeling and SQL.
• Familiarity with GitHub Copilot or similar AI-assisted coding tools.
Soft Skills
• Strong communication skills and ability to work in a cross-functional, agile environment.
Nice to Have (Optional)
• Financial Services industry exposure.
We are seeking a Python Developer with strong expertise in data transformation, pandas, and modern data engineering practices. The ideal candidate will design and implement scalable data pipelines and APIs, leveraging Snowflake, Snowpark, and containerized environments. Experience with FastAPI and Kubernetes is essential. Familiarity with the financial services industry is a plus.
Project Overview/Role
• Design & Build Data Pipelines: Create reliable, testable data transformation workflows using Python (pandas, PySpark/Snowpark), optimizing for performance and maintainability.
• Snowflake Engineering: Implement Snowflake objects (tables, stages, tasks), write efficient SQL, develop Snowpark-based transformations; manage performance (clustering, warehouses, caching) and cost.
• Service Development (FastAPI): Build RESTful/JSON APIs and backend services in FastAPI to expose data and business logic; implement authentication/authorization, rate limiting, and request validation.
• Containerization & Orchestration: Package services with Docker and deploy/operate them on Kubernetes; manage manifests, Helm charts, ConfigMaps/Secrets, health probes, autoscaling, and observability.
• Event-Driven Architecture: Produce/consume Kafka topics; design schemas (Avro/JSON/Protobuf), ensure idempotency, implement exactly-once/at-least-once semantics where appropriate; apply stream processing patterns.
• Quality & Reliability: Write unit/integration tests, data validation checks, and contract tests; implement CI/CD (linting, type checks, security scans, test automation) and support blue/green or canary releases.
• Observability & Operations: Instrument services with logging, metrics, and tracing (e.g., OpenTelemetry); build dashboards and alerts.
• Collaboration: Partner with product, analytics, and platform teams; document designs, APIs, SLAs, and runbooks; participate in reviews and sprint ceremonies.
Interview Process
• 2 interviews (includes a coding test)
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
As a contractor, I have to say that Rose International was by far the best agency I have worked for.
Q'testdalir, Consultant
Rose International maintained good communication during assignments and are very informative through email and phone calls.
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Rose is an assembly of people grounded in honesty, truth and dignity for all of its employees and contractors.
Samba, Consultant
I had a very positive experience working for Rose. The entire process is very efficient and easy.
Joanne, Consultant
You are customer service oriented. No matter whether it was the Recruiter or someone in Human Resources/Payroll, you were responsive. That to me is key!
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