Full Stack Engineer

Full-Stack Engineer (React/Python)

This early-stage startup is building a modern data platform that powers large-scale data processing, structured and unstructured data transformation, and intuitive user experiences. They are hiring a Full-Stack Engineer with strong React and Python skills who can own features end-to-end and operate effectively in an environment with evolving priorities and limited structure.

This engineer will bridge product, frontend, and backend work, building polished component libraries, scalable APIs, and data-driven features. The role requires someone who can work across the entire stack: UI components, API design, backend data processing, and performance optimization. You will influence architectural decisions across both frontend and backend systems.

• Build a scalable, reusable component library for a React-based application
• Develop RESTful APIs that efficiently serve data to frontend and internal tools
• Implement backend data transformation and processing pipelines using Python (and often PySpark or Pandas)
• Translate high-fidelity designs into robust, production-ready UI components
• Build backend services for data ingestion, validation, and workflow automation
• Optimize performance across the stack from database queries to frontend rendering
• Design data models for both transactional and analytical workloads
• Develop and maintain comprehensive testing coverage (Jest, pytest, integration tests)
• Implement real-time features using Web Sockets or SSE
• Collaborate closely with design, product, and backend teams
• Build internal tooling and dashboards using both frontend and backend skills

• 4+ years building production full-stack web applications
• Strong React, Type Script, and modern frontend engineering expertise
• Proficiency in Python with experience in data processing frameworks (PySpark, Pandas, etc.)
• Experience building and consuming RESTful or Graph
  
  QL APIs
• Familiarity with database design and query optimization (Postgre
  
  SQL and/or Mongo
  
  DB)
• Experience with Next.js or similar React frameworks
• Understanding of data pipeline concepts and ETL patterns
• Comfort working in cloud environments (AWS/GCP) and with Docker/Kubernetes
• Experience with full-stack testing strategies and tooling
• Understanding of authentication, authorization, and security best practices
• Bonus: real-time systems, data lakes/warehouses, Databricks, LLM integrations, or data visualization libraries

• Own features end-to-end across the full stack
• Influence both frontend architecture and backend data-processing systems
• Work at the intersection of UI engineering and large-scale data infrastructure
• Build polished user experiences backed by sophisticated pipelines
• Join at a pivotal stage of defining engineering direction and best practices