Python Full Stack Developer

Position: Python Full Stack Developer with Data Engineering, AI/ML (Must)
Location: Bellevue, WA – Onsite
Visa: H1B 
Exp: 12+

JD for full stack developer

Primary Skill (Must to have)
•    Data Engineering-  Build Data pipeline, Databricks, Snowflake , Rest API, Azure Services (ADF, Azure AI Services, AKS)
•    AI /ML- Must have experience building MCP tool
•    Experience Building API

Job Summary:
We are seeking a highly skilled Full Stack Developer with strong Data Engineering experience and proven expertise in API Development (must-have) to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust applications, APIs, and data pipelines that power our business solutions. You will work across the stack, integrating front-end, back-end, and data systems, and play a key role in ensuring data quality, performance, and scalability. Proficiency in Python for backend development is required.
Key Responsibilities:    •    Design, develop, test, and debug end-to-end applications, including both front-end and back-end components.
•    Build, document, and maintain scalable, secure APIs and server-side logic.
•    Manage databases (SQL, Snowflake, NoSQL, Vector DB) and ensure efficient data access for APIs.
•    Develop and optimize ETL/data pipelines and large-scale data processing frameworks.
•    Integrate systems to ensure seamless operation between front-end, back-end, APIs, and data platforms.
•    Collaborate with cross-functional teams to define requirements, UI/UX, and technical specifications.
•    Maintain and upgrade applications and APIs post-deployment, including troubleshooting and production support.
•    Implement CI/CD pipelines and containerized deployments using Docker and cloud platforms (AWS/Azure/GCP).
•    Ensure data quality, performance optimization, and data modeling best practices.
Required Skills:    
•    7+ years of experience in full-stack development, with a focus on backend applications using Python.
•    3+ years of hands-on experience in Data Engineering, including ETL, data pipelines, and large-scale data processing.
•    3+ years of proven experience in designing, developing, and maintaining RESTful APIs (must-have).
•    Proficiency in JavaScript (ES6+), HTML, CSS, and modern front-end frameworks (React, Angular, or Vue).
•    Strong experience with backend technologies: Python (Django, Flask, or Pyramid), Node.js, Express.
•    Expertise in SQL, Snowflake, PostgreSQL, and cloud data platforms (Azure preferred).
•    Experience with containerization (Docker) and CI/CD tools (GitHub Actions, Jenkins, Octopus, etc.).
•    Familiarity with data science and machine learning concepts and tools (Numpy, Pandas, Scipy).
•    Strong problem-solving, debugging, and communication skills; experience working in Agile/Scrum teams.
•    Experience with version control (Git) and collaborative development.