Python Software Developer

  • Nashville, TN
  • Posted 20 hours ago | Updated 20 hours ago

Overview

On Site
$80 - $100
Contract - Independent
Contract - W2
Contract - 24 Month(s)
No Travel Required

Skills

NumPy
Python
Pandas
Microservices
Design Patterns
Kubernetes
Microsoft Azure
Docker
Continuous Integration
Object-Oriented Programming
RESTful
Software Development

Job Details

Role: Python Software Engineer Location: Nashville, TN Work Schedule: 3-4 days in office, Hybrid, 8 a.m. 4 p.m. CST workdays
Role & Responsibilities: Work on Python based financial software systems, across Muni SMA business, Taxable SMA and Quant Model systems.
Build Python software that is scalable, reusable and can be leveraged to solve multiple business-line needs.
Technical Skills:

  1. Strong knowledge of Python programming language and its frameworks, with a focus on back-end development.
  2. Knowledge of software development principles and Object-Oriented development and design patterns ( C# experience a plus)
  3. Experience with libraries and frameworks such as NumPy, SciPy, and Pandas for data analysis and algorithm development a plus .
  4. Experience with back-end technologies such as Oracle, SQL Server, REST API, microservices, etc.
  5. Understanding of parallel programming concepts and packages parallelization/multiprocessing/cloud.
  6. Working experience/knowledge of Azure is a plus (CI/CD, Kubernetes, Data Factory, Containers/Pods/Docker, [ AWS is ok - Azure equivalent ]

Collaboration:

  1. Work closely with Team Leads to help drive shared Software Architecture - design scalable and efficient software systems.
  2. Collaborate with the Infrastructure Engineer to ensure seamless integration and deployment of applications and high scalability on Azure Cloud.
  3. Coordinate with cross-functional teams, including product management and quality assurance, to deliver high-quality software solutions.

Soft Skills:

  1. Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex problems.
  2. Ability to troubleshoot and optimize existing analytics solutions for improved performance.
  3. Excellent communication and collaboration skills.
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