F2F interview- React full-stack Developer- Dallas, TX
About The Position
We are seeking a strong React Full Stack Developer with 8-10 years of experience, including solid hands-on experience in Databricks and Azure. The role involves building modern custom web applications, dashboards, AI-enabled tools, and operational interfaces that leverage DataSphere and Databricks data assets. Responsibilities include migrating existing Palantir Workshops into modern React applications, migrating Databricks ETL to new serverless Databricks, developing responsive and accessible user experiences, and resolving Azure networking, proxy, firewall, and authentication issues. The role also requires integration with REST APIs, collaboration with business stakeholders, development and deployment of APIs in Azure, building applications that consume Databricks, Snowflake, and Azure data sources, and supporting migration of existing data workflows. Additionally, the position involves optimizing data retrieval and application performance, developing automation and operational tooling, building AI-enabled applications using Databricks AI capabilities, developing monitoring and health check dashboards, supporting chatbot and agentic AI initiatives, building administrative portals for DataSphere applications, assisting with Databricks Serverless migration efforts, enhancing health check reporting and operational visibility, developing front-end interfaces for health check management and monitoring, and supporting Azure-based application deployments.
Requirements
- Strong React Full Stack Developer with 8-10 years of experience
- Solid hands-on experience in Databricks and Azure
- Experience with Databricks Serverless/ETL migration
- Experience with REST APIs
- Experience with Azure deployments
- Experience with data integration (Databricks/Snowflake)
- Experience with AI/chatbot or agentic AI applications (preferred)
Nice To Haves
- AI/chatbot or agentic AI applications
Responsibilities
- Migrate current Palantir Workshops into modern React applications
- Migrate Databricks ETL to new serverless Databricks
- Develop responsive and accessible user experiences
- Resolve Azure networking, proxy, firewall, and authentication issues in Databricks and web applications
- Integrate with REST APIs and backend services
- Collaborate with business stakeholders on UI/UX requirements
- Develop and deploy APIs in Azure
- Build applications that consume Databricks, Snowflake, and Azure data sources
- Support migration of existing data workflows where required
- Optimize data retrieval and application performance
- Develop automation and operational tooling
- Build AI-enabled applications using Databricks AI capabilities
- Develop monitoring and health check dashboards
- Support chatbot and agentic AI initiatives
- Build administrative portals for DataSphere applications
- Assist with Databricks Serverless migration efforts
- Enhance health check reporting and operational visibility
- Develop front-end interfaces for health check management and monitoring
- Support Azure-based application deployments
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
