Senior Python Full Stack Developer – Risk Technology, SQL & Azure

Axiom Path•Charlotte, NC

1d•Hybrid

About The Position

Join the technology division of a global financial services organization supporting banking operations, enterprise risk management, and critical business applications. The team develops scalable, reliable technology solutions for data processing, application performance, and risk-related decision-making. This role suits an experienced software engineer who enjoys building applications from the ground up, solving complex technical challenges, and contributing to cloud-based platforms. It emphasizes hands-on engineering, system design, and collaboration across technology and business functions. This is a long-term W2 contract opportunity (no C2C or 1099) with a hybrid work arrangement based in Charlotte, North Carolina. The developer will build and enhance Python applications, integrate backend services with React components, work with Azure cloud services, and support data engineering and risk management initiatives. The role also contributes to architectural decisions and end-to-end application development.

Requirements

At least 8 years of professional software development experience; 10+ years in enterprise application environments is preferred.
Advanced Core Python expertise, including substantial hands-on experience designing and developing applications from the ground up.
Strong SQL proficiency, including complex queries, data manipulation, analytics, and database-driven application development.
Hands-on experience with at least one major Python web framework: FastAPI, Flask, or Django.
Demonstrated system design capabilities, including application architecture, scalability considerations, and technical decision-making.
Experience developing backend services, REST APIs, and integrations with relational databases.
Working knowledge of JavaScript and frontend technologies; React is preferred.
Experience with relational databases such as SQL Server, Oracle, or PostgreSQL.
Familiarity with Microsoft Azure and cloud application services, including Azure Functions, App Service, or container-based environments.
Experience with Git, GitHub, or Azure DevOps for source control and development collaboration.
Strong analytical thinking, problem-solving, and communication skills, including the ability to explain complex technical concepts and architectural decisions.
A hands-on engineering mindset and recent experience personally developing production applications rather than focusing primarily on oversight, maintenance, or support.

Nice To Haves

Exposure to Azure Databricks, PySpark, Apache Spark, notebooks, Delta Lake, or data orchestration tools.
Familiarity with Azure Data Factory, Azure Synapse Analytics, or Azure Data Lake Storage.
Experience supporting financial services applications, particularly risk management systems.
10+ years of experience in enterprise application environments.

Responsibilities

Design, develop, and enhance scalable applications using Core Python, emphasizing performance, reliability, and maintainability.
Build backend services and application functionality using FastAPI, Flask, or Django.
Develop complex SQL queries, data processing routines, and database integrations for business applications and analytical workloads.
Integrate Python-based services with JavaScript and React frontend components.
Design application architectures, evaluate technical alternatives, and communicate system design decisions to engineering stakeholders.
Develop and integrate REST APIs to connect applications, databases, and enterprise systems.
Develop, deploy, integrate, and maintain application components using Azure cloud services.
Support data processing and engineering initiatives involving Azure Databricks, PySpark, Delta Lake, and related technologies.
Collaborate with cross-functional teams to translate business requirements into robust, scalable technical solutions.
Apply software engineering best practices, including version control, code quality, troubleshooting, and continuous improvement.