W2 Hiring || Python Developer - McLean, VA (On-Site)

Overview

On Site
$50 - $60
Contract - W2
Contract - 6 Month(s)

Skills

Flask
FastAPI
Python
Django
NumPy
Pytest
Jenkins

Job Details

Job Title: Developer-Full Stack Senior

Location: McLean, VA (On-Site)

Duration: 6 Months

Interview: 2 Rounds (First Round - MS Teams, Second Round - In Person)
 Position Overview:
Financial Engineering team is seeking Senior Python Developer for a large strategic financial project.
The position is focused on python development of components for a software application platform that produces 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 APIs based services, create shared services components, and collaborate with other IT groups, Dev Ops, and User Interface teams.
Responsibilities include:
Senior 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:
Experience writing Python code and RESTful web services using framework such as Flask, FastAPI etc. in a professional environment
Back End Skills: Python, Django/Flask/FastAPI, NumPy, pandas and Relational Database
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 Computer Science, Financial Engineering or a related quantitative discipline
Prior experience with financial services companies desired but not necessary

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