Python Developer, Location: Chicago, IL (Hybrid) (ONLY LOCAL)

JOB TITLE: Python Developer

JOB LOCATION: Chicago, IL (Hybrid) - Need Only Local

EXPERIENCE: 20+ YEARS

VISA: , (W2) CAN APPLY.

Description

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)