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Full Stack Python Developer with CDE Experience

Futrend Technology, Inc.
Bethesda, USA
Full-time
Mid Level
Onsite
Discovered 1 months ago

Full Job Posting

About Futrend Technology, Inc.

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.

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