Software Developer with Security Clearance

Duties & Responsibilities

• Participate in data modeling and analytics engineering teams to design scalable data-driven solutions
• Translate business needs into technical requirements, system designs, and implementation plans
• Design, build, and optimize data pipelines and analytics systems supporting production workloads
• Develop and maintain software solutions using Python (object-oriented programming)
• Build and maintain CI/CD pipelines using Git/GitHub and Jenkins
• Develop and optimize data extraction, transformation, parsing, and storage workflows
• Design and implement logical data architectures supporting SQL and NoSQL systems
• Clean, structure, and prepare datasets for use in machine learning and statistical analysis
• Apply mathematical, statistical, and analytical methods to solve complex data problems
• Develop and test models using structured experimentation and the scientific method (hypothesis → test → evaluate)
• Tie model and system testing to quantitative performance metrics and KPIs
• Develop custom database scripts, queries, and data interfaces
• Build and maintain APIs and data services supporting internal and external applications
• Implement automated testing, configuration management, and deployment workflows
• Support cloud-based systems and deployments using AWS or Azure environments
• Work with distributed computing systems and optimize performance using parallel processing techniques
• Develop automation tools, including CLI-based utilities for non-technical users
• Use issue tracking and collaboration tools such as Jira and Confluence

Requirements

• Strong experience programming in Python (object-oriented development required)
• Experience using data science and analytics libraries (Pandas, Scikit-learn)
• Experience designing and building data pipelines incorporating SQL and NoSQL systems
• Experience participating in data modeling and analytics project teams
• Experience translating business requirements into technical solutions
• Experience building and maintaining CI/CD pipelines using Git/GitHub and Jenkins
• Experience performing data extraction, transformation, and large-scale data processing
• Experience applying statistical, mathematical, and analytical techniques to real-world problems
• Experience working with distributed systems or distributed computation environments
• Experience with automated testing and software deployment workflows
• Experience working with APIs and system integration
• Experience using Jira and version control systems in collaborative environments
• Experience with cloud platforms such as AWS or Azure
• Experience building reproducible, tested, and maintainable software systems