Job Description
A leading organization is seeking Full Stack Python Software Engineers to support the development of modern data-driven applications and platform solutions. This position combines application development, data engineering, cloud technologies, and software quality practices to deliver scalable and reliable systems.
The ideal candidate will have experience building full-stack applications, working with large-scale data platforms, and developing solutions in cloud environments. Candidates with experience in healthcare or health technology environments are highly preferred.
Responsibilities
Application Development
- Design, build, and maintain full-stack applications using modern development frameworks and tools.
- Develop and enhance user-facing features using React or Vue.
- Create and support scalable backend services using Python.
- Deliver high-quality, maintainable, and well-tested software solutions.
Data and Platform Engineering
- Develop solutions that integrate with SQL-based data systems.
- Work with Databricks, Snowflake, and related data platforms to support application and analytical workflows.
- Build and maintain data processing components and integrations.
- Support efficient data movement, transformation, and management across systems.
Cloud and Distributed Systems
- Develop and support applications deployed within AWS environments.
- Integrate services and applications with event-streaming technologies such as Kafka.
- Contribute to scalable and reliable cloud-based architectures.
Automation and Quality Engineering
- Implement automated testing strategies to improve application reliability.
- Develop automation solutions that support engineering efficiency and software quality.
- Participate in code reviews and follow established development best practices.
Collaboration
- Work closely with engineering, product, and business stakeholders.
- Participate in technical discussions and solution planning activities.
- Contribute to cross-functional teams delivering software and platform enhancements.
Required Experience and Skills
- Strong full-stack software engineering experience.
- Proficiency in Python development.
- Strong SQL and database development experience.
- Experience with Databricks and/or Snowflake.
- Experience building front-end applications using React and/or Vue.
- Experience developing applications and services in AWS environments.
- Knowledge of Kafka or similar event-streaming technologies.
- Experience with automation frameworks and software testing practices.
- Strong problem-solving and technical communication skills.
- Ability to work effectively across technical and business teams.
Preferred Experience and Skills
- Experience working within healthcare, health technology, or related regulated environments.
- Master’s degree from a United States educational institution.
- Experience designing and supporting data-intensive applications.
- Familiarity with modern software engineering methodologies and development practices.
- Experience working with cloud-native architectures and distributed systems.
FAQ
1. What does a Full Stack Python Software Engineer do?
A Full Stack Python Software Engineer develops complete web applications across both frontend and backend layers. The role combines Python-based server development with frontend technologies, API integration, database management, testing, and deployment to deliver end-to-end software solutions.
2. How is Python used in full stack development?
Python is commonly used for backend services, business logic, REST APIs, authentication, data processing, and application integrations. Depending on the project, frameworks such as Django, Flask, or FastAPI may be used to structure and scale the backend.
3. What frontend technologies are relevant to this role?
Frontend development may involve JavaScript, TypeScript, React, Vue.js, Angular, HTML, and CSS. The engineer builds responsive interfaces, integrates backend APIs, manages client-side state, and ensures applications provide consistent experiences across devices and browsers.
4. What types of applications are typically built by Full Stack Python Engineers?
Typical projects include SaaS products, enterprise web applications, customer portals, internal business platforms, dashboards, workflow systems, e-commerce applications, and data-driven products. Some environments also include AI or machine learning features within the application stack.
5. What role do databases play in this position?
Databases support the application’s business data and operational workflows. Engineers may design schemas, develop data access layers, optimize queries, manage transactions, and work with relational or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar technologies.
6. How are APIs used across the application stack?
APIs connect frontend interfaces with Python backend services and allow applications to communicate with external systems. Engineers develop and integrate secure APIs for data exchange, authentication, business workflows, and third-party service integrations.
7. What software engineering practices are expected in this role?
The role typically includes automated testing, code reviews, version control, debugging, documentation, and CI/CD practices. Engineers are expected to write maintainable code, identify performance issues, and support applications throughout the software development lifecycle.