Mid Level Onsite Python Developer with CDE Experience

About Futrend Technology, Inc.

Position Overview

Key Responsibilities

• Design, develop, test, and maintain full‑stack applications in support of mission‑critical federal systems.
• Work across front‑end and back‑end components, ensuring seamless integration and performant code.
• Analyze requirements, propose technical solutions, and deliver enhancements with minimal supervision.
• Collaborate with cross‑functional teams—including developers, analysts, architects, and QA—to support high‑quality software delivery.
• Contribute to code reviews, design discussions, and architectural decisions.
• Support data workflows, integration processes, and system modernization efforts.
• Troubleshoot issues across the stack and provide timely resolution.
• Stay current with modern development practices, frameworks, and technologies.

Core Qualifications (Required)

• 5+ years of hands-on software application or systems development experience.
• Strong proficiency in both procedural and object‑oriented programming, including familiarity with common design patterns.
• Experience working within large, complex codebases spanning the full technology stack.
• Ability to complete assignments independently with minimal oversight.
• Strong communication skills and proven ability to collaborate effectively in team environments.
• A self‑driven learner with a commitment to staying current with emerging technologies.

Preferred Qualifications

• Experience with modern web development technologies such as HTML, CSS, JavaScript, Web APIs, JSON, Angular or React.
• Experience with server‑side technologies such as TypeScript, Node.js, Express.js, Webpack, NPM, or equivalents.
• Familiarity with functional or event-driven programming (callbacks, streaming, reactive programming, Promises/Futures).
• Experience working in Linux environments, including shell programming.
• Working knowledge of Python and libraries such as NumPy, Pandas, or scikit‑learn.
• Experience with SQL, NoSQL (MongoDB), or Elasticsearch, and data pipelines or ETL processes.
• Familiarity with Common Data Elements (CDEs) or healthcare/medical terminologies.
• Knowledge of Kubernetes or other container orchestration platforms.
• Experience with AWS or other cloud platforms, including cloud‑agnostic architectures.