Python Developer

Please get me the independent candidates. Client: Freddie Mac Rate: 65-70/hr C2C Visa: No H1B, CPT, OPT Location: Hybrid Mclean VA ( only locals ) Candidates need to go onsite to Mclean VA- Tuesday, Wednesday, Thursday ( No relocation candidates will be considered ) Duration: 6 months with possibility for extensions Must have Financial Background Must Haves: Python, Rest API (Flask or Fast API), Pandas or NumPy, Pytest or Unitest The position is focused on python development of components for a software application platform that will produce enterprise level reporting based on financial statements and models. The candidate will develop and support the middle layer of the application to build, test, and deploy RESTful micro services, create shared services components, and collaborate with other Dev teams, Dev Ops, and User Interface teams. Responsibilities include: Engineer capable of designing solutions, writing code, testing code, automating test and deployment Develop and maintain high-quality software code and automated tests (including Unit, Functional, Performance, Acceptance) for web interface application that integrates data, analytics, and reporting components Predictable results: changes in code can be proven to be correct and bug-free Production resilience: system must be highly available with minimal downtime High performance: develop scalable calculations to maintain performance over large data sets Ready, willing, and able to pick up new technologies and pitch in on story tasks (design, code, test, CI/CD, deploy, etc.) Technical Skills: Strong Proficiency in Python programming language, including experience with frameworks such as Flask, Django and FastAPI Experience with RESTful APIs and microservices architecture, and an understanding of how to design and implement them effectively. Back End Skills: Python, Django/Flask/FastAPI, NumPy, pandas and Relational Database Refactoring Skills: Knowledge of how to refactor code to improve its quality, maintainability, performance, and scalability while preserving its functionality. Automation Testing: Pytest, Unitest, Monkey patch, pytest-mockito etc. Build CI/CD Tools: gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence DevOps: Linux & Docker Preferred Qualifications: Bachelor's degree, ideally in Financial Engineering , Computer Science, or a related quantitative discipline Prior experience with financial services companies desired