Senior Python Developer with Security Clearance

The Senior Python Developer works as part of a team to implement functionality as part of multiple efforts to build data processing applications while taking ownership of architectural design components, technical implementations, and the software development lifecycle. A successful developer will be able to implement functionality to interface with an existing system, as well as writing new functionality to interface with various open-source tools. Knowledge of the software development lifecycle is a must, as the developer will help translate requirements into user stories to be implemented as part of a team. As part of the implementation phase, the developer is expected to include automated tests as part of the CI/CD pipeline to validate the code that is being written. Knowledge of the cloud software deployment process is also key, including familiarity with parallel processing in Python, large data processing using packages such as PySpark, and optimizing Python code for deployment as part of a containerized architecture. Role Highlights: Work with the Chief Engineer and Technical Leads to translate requirements into user stories to incorporate new functionality into various software applications Lead development of software components in support of various Python-based data processing applications Lead work decomposition and development architectural design for components as part of a larger software development system Build with automated testing frameworks to ensure code quality and robust CI/CD deployment processes Experience developing web APIs to interface with cloud applications and databases as part of cloud native software applications Experience working as part of an Agile team to deliver software iteratively Experience integrating Python code into Docker containers as part of a distributed architecture. Experience designing software application components independently based on requirements Experience leading discussions with customer stakeholders to align on requirements and technical implementations 7+ years' demonstrated experience with:
Data Processing Python Libraries such as PySpark, Pandas and Numpy Experience with API development in Python using Python libraries such as FastAPI Experience with Unit Testing Frameworks in PyTest and Mocking Preferred Skills/Experience:
Experience with Python ORM tools for database as code such as SQLAlchemy Experience deploying containerized Python code using Docker on cloud platforms such as AWS