Python Engineer Property & Casualty (P&C) insurance
Ascii Group, LLC, San Antonio, TX, United States
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 a Python Engineer to build and maintain high-availability, scalable server-side logic and web applications. This role requires a strong foundation in Django or Flask coupled with the ability to perform heavy data manipulation using Pandas and NumPy. You will work in a Linux-heavy environment, managing the full lifecycle of RESTful APIs and database optimization within the P&C insurance industry.
Key Responsibilities
*Backend Development: Build and maintain scalable, testable server-side logic using Django, Flask, or Fast API.
*API Architecture: Create and integrate RESTful APIs for seamless data exchange between front-end elements and back-end logic.
*Data Engineering: Utilize Pandas and NumPy for complex data manipulation and analysis; develop automation scripts to streamline workflows.
*Database Management: Design and optimize storage solutions using PostgreSQL, MySQL, and NoSQL (MongoDB/Redis) to handle high-volume data.
*Cloud & DevOps: Containerize applications using Docker and deploy/manage services within AWS and Kubernetes environments.
*Quality Assurance: Ensure high code quality through rigorous debugging and unit testing using PyTest.
Required Technical Skillset
*Core Python: Expert understanding of OOP, data structures, and standard libraries (`pathlib`, `os`, `sys`).
*Web Frameworks: Strong proficiency in Django (primary) or Flask/Fast API.
*Data Stack: Hands-on expertise with Pandas, NumPy, and Jupyter for data analysis.
*Databases: Mastery of SQL, PostgreSQL, and ORMs (SQL Alchemy or Django ORM).
*DevOps/Tools: Proficient with Git, 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.
*Cloud Infrastructure: Experience with AWS services and Kubernetes.
Location: San Antonio, TX (100% On-site)
Compensation: $49.25/hr (W2)
Contract Duration: 6 Months
Position Overview
We are seeking a Python Engineer to build and maintain high-availability, scalable server-side logic and web applications. This role requires a strong foundation in Django or Flask coupled with the ability to perform heavy data manipulation using Pandas and NumPy. You will work in a Linux-heavy environment, managing the full lifecycle of RESTful APIs and database optimization within the P&C insurance industry.
Key Responsibilities
*Backend Development: Build and maintain scalable, testable server-side logic using Django, Flask, or Fast API.
*API Architecture: Create and integrate RESTful APIs for seamless data exchange between front-end elements and back-end logic.
*Data Engineering: Utilize Pandas and NumPy for complex data manipulation and analysis; develop automation scripts to streamline workflows.
*Database Management: Design and optimize storage solutions using PostgreSQL, MySQL, and NoSQL (MongoDB/Redis) to handle high-volume data.
*Cloud & DevOps: Containerize applications using Docker and deploy/manage services within AWS and Kubernetes environments.
*Quality Assurance: Ensure high code quality through rigorous debugging and unit testing using PyTest.
Required Technical Skillset
*Core Python: Expert understanding of OOP, data structures, and standard libraries (`pathlib`, `os`, `sys`).
*Web Frameworks: Strong proficiency in Django (primary) or Flask/Fast API.
*Data Stack: Hands-on expertise with Pandas, NumPy, and Jupyter for data analysis.
*Databases: Mastery of SQL, PostgreSQL, and ORMs (SQL Alchemy or Django ORM).
*DevOps/Tools: Proficient with Git, 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.
*Cloud Infrastructure: Experience with AWS services and Kubernetes.