F2F interview- React full-stack Developer- Dallas, TX

Hi,

F2F interview- React full-stack Developer- Dallas, TX

Strong React Full Stack Developer with 8–10 years of experience who also has solid hands-on experience in Databricks and Azure. The candidate should have experience with Databricks Serverless/ETL migration, REST APIs, Azure deployments, data integration (Databricks/Snowflake) and preferably AI/chatbot or agentic AI applications.

We have longterm Contract and onsite job opening.

If you are interested and comfortable with job description and Your experience match with job description.

Please send your updated resume with below details.

Your current location

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Experience Rate all inc on c2c/1099

Job Title: Full Stack Engineer with React

Duration: Longterm Contract

Location: Dallas, TX – 5 days onsite

Interview Process: 1st round: Virtual /2nd round: Onsite, Dallas/Richardson / 3rd round: Client

Job Description: Experienced 8-10years Full Stack Engineer with React expertise and Databricks/Azure experience. This individual will build modern custom web applications, dashboards, AI-enabled tools, and operational interfaces that leverage DataSphere and Databricks data assets.

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

Thanks & Regards,

Girish Kumar

All your information will be kept confidential according to EEO guidelines.