Python Engineer Property & Casualty (P&C) insurance

Role: Python Engineer Property & Casualty (P&C) insurance  
Location: San Antonio, TX (100% On-site)  
Compensation: $49.25/hr (W2)  
Contract Duration: 6 Months 

Position Overview
We are seeking aPython Engineer to build and maintain high-availability, scalable server-side logic and web applications. This role requires a strong foundation inDjango or Flask coupled with the ability to perform heavy data manipulation usingPandas and NumPy. You will work in a Linux-heavy environment, managing the full lifecycle of RESTful APIs and database optimization within theP&C insurance industry.

Key Responsibilities
*Backend Development: Build and maintain scalable, testable server-side logic usingDjango, Flask, or FastAPI.
*API Architecture: Create and integrateRESTful APIs for seamless data exchange between front-end elements and back-end logic.
*Data Engineering: UtilizePandas and NumPy for complex data manipulation and analysis; develop automation scripts to streamline workflows.
*Database Management: Design and optimize storage solutions usingPostgreSQL, MySQL, and NoSQL (MongoDB/Redis) to handle high-volume data.
*Cloud & DevOps: Containerize applications usingDocker and deploy/manage services withinAWS and Kubernetes environments.
*Quality Assurance: Ensure high code quality through rigorous debugging and unit testing usingPyTest.

Required Technical Skillset
*Core Python: Expert understanding of OOP, data structures, and standard libraries (`pathlib`, `os`, `sys`).
*Web Frameworks: Strong proficiency inDjango (primary) or Flask/FastAPI.
*Data Stack: Hands-on expertise withPandas, NumPy, and Jupyter for data analysis.
*Databases: Mastery of SQL, PostgreSQL, and ORMs (SQLAlchemy or Django ORM).
*DevOps/Tools: Proficient withGit, Docker, Linux, and CI/CD pipelines.
*Frontend Basics: Familiarity with HTML, CSS, and JavaScript for integration purposes.

Preferred Qualifications
*Domain Knowledge: Professional experience in Property & Casualty (P&C) insurance is must .
*Cloud Infrastructure: Experience withAWS services and Kubernetes.