Requires TS/SCI w/ poly.
Description: As a Full-Stack Engineer you will directly support analysts and developers within your section. Working closely with the team lead, you will play a crucial role in rapidly building a variety of specialized tools and tradecraft to enhance the CNO mission. Your responsibilities will include developing innovative solutions for scalable data analysis, task automation, and workflow improvement through a flexible technology stack. The DAT teams foster an environment that values meticulous attention to detail and craftsmanship, where your contributions have a tangible impact on enhancing user experiences and mission success. The ideal candidate should thrive in this dynamic setting, collaborating closely with a diverse group of users and deriving satisfaction from observing users effectively utilize the tools they create.
Responsibilities:
- Work closely with the team lead to understand and address the needs of analysts and developers.
- Develop cutting-edge solutions for data visualizations, task automation, and workflow enhancements.
- Collaborate with cross-functional teams to identify opportunities for optimizing tradecraft and tooling.
- Independently drive projects and proposals, taking ownership of the entire development lifecycle.
- Design, architect, and implement robust and scalable software solutions that align with project objectives and requirements.
- Continuously improve and optimize existing codebase to ensure high performance and maintainability.
Skills Requirements:
- Familiarity with data science principles and techniques, demonstrating the ability to analyze and derive insights from complex datasets.
- Experience with back-end development using Python to create custom libraries and REST API functions. Familiarity with version control systems like Git for collaborative development.
- Proficiency in front-end technologies such as React/Vue/Next, JavaScript, HTML5, and CSS3 for creating user interfaces.
- Willingness and ability to learn and adapt quickly on the job, including internal systems unique to CNO. Problem-solving mindset and a passion for delivering quality solutions.
- Eagerness to expand knowledge and stay up to date with industry trends and emerging technologies.
Nice to Haves:
- Prior experience within CNO
- Elasticsearch
- Relational databases (MySQL, SQLite, Postgres)
- Linux
- Devops
- Cloud-based experience (AWS/C2S)
- CI/CD pipelines
- Jupyter Notebooks
- Docker, K8s
- Software reverse engineering
- XKS
- Redis
- Apache NiFi
- Apache Spark
YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.