Overview
On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 31 day((s))
Skills
NumPy
Unit testing
Must Have Qualifications: 5+ years of relatable hands on experience as a Python Developer
Django/Flask/FastAPI
pandas and Relational Database
Job Details
Job Title: Information Technology - Developer-Full Stack Senior (Python)
Location: Mclean, VA (Onsite)
Duration: 6 Months
NOTE:
- Locals Only
- Must be available for in-person interview
Job Description:
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.
Must Have Qualifications: 5+ years of relatable hands on experience as a Python Developer, Django/Flask/FastAPI, NumPy, pandas and Relational Database, Unit Testing
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.