Overview
HybridHybrid - Onsite in McLean, VA, Tuesday through Thursday from day one
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 6 Month(s)
No Travel Required
Skills
Python
Rest API (Flask or Fast API)
Pandas
Numpy
Job Details
Location: Hybrid - Onsite in McLean Tuesday through Thursday from day one
Interview: 2nd round - in-person interview in McLean, VA
Assignment Type: Contract Only
Must Haves: Python, Rest API (Flask or Fast API), Pandas, or NumPy.
Schedule: Occasional flexibility to accommodate monthly on-call rotation supporting production.
Schedule: Occasional flexibility to accommodate monthly on-call rotation supporting production.
Position Overview:
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.
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: the 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.)
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: the 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.
Build CI/CD Tools: Gradle, Jenkins, git, Conda, pip, Jira, Gitlab, Confluence
DevOps: Linux & Docker
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.
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 but not necessary
Bachelor s degree, ideally in Financial Engineering, Computer Science, or a related quantitative discipline
Prior experience with financial services companies desired but not necessary