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Mid-level generalist title, metro location, known brand, and broad skill requirements elevate competition.
Full-stack with AI and visualization skills are moderately transferable, visualization expertise adds some specificity.
Explicit 2+ years and many mandatory tech requirements (Python, JS, AI, Tableau, cloud) increase strictness.
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Design, develop, and maintain scalable full-stack applications using Python back-end frameworks and modern front-end frameworks.
Build and optimize RESTful APIs and microservices connecting data layers with user-facing apps, integrating AI-powered features like automated summaries and smart search.
Develop and embed interactive data visualizations (e.g., Tableau dashboards, D3.js) and manage data workflows from cloud data sources to support application functionality.
Bachelor's degree in Computer Science, Software Engineering, Mathematics, or related technical field.
Minimum 2 years of full-stack development experience with strong Python, SQL, and JavaScript skills.
Proficiency in Python frameworks (Django, Flask, FastAPI) and Node.js; experience with PySpark for big data processing.
Hands-on experience with AI prompting techniques, integrating large language models or ML models, and embedding Tableau visualizations or JavaScript libraries.
Experienced in end-to-end full-stack system design combining scalable back-end, AI, and rich front-end visualization layers.
Comfortable working in cloud environments (AWS or GCP) with solid understanding of data warehousing and ETL pipelines.
Able to translate complex technical solutions for business stakeholders while innovating with emerging AI and visualization technologies.