Senior Python Developer Locals or nearby states only

Overview

On Site
Depends on Experience
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Django
GitLab
Mortgage
Financial Services
Financial Statements
Python
Pandas
Flask
RESTful
NumPy
Jenkins
JIRA

Job Details

Role: Senior Python Developer
Location: McLean, VA (Onsite) Duration: 12+ Months contract

Must Haves:

Looking for a Senior Python Developer with good experience in Django/Flask/FastAPI, NumPy, pandas and Relational Database, Unit Testing using Pytest.

Need someone with previous experience working with Mortgage/Financial industry BG.

Job Description: Freddie Mac s 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.