Why This Role Stands Out
This on-site React Full-Stack Developer role in Dallas offers a fantastic opportunity to leverage your Databricks and Azure expertise on exciting projects, including AI applications and modern web development, with a long-term contract for a reputable company. You'll thrive here if you enjoy building innovative solutions and collaborating with stakeholders to deliver impactful results. Apply now to explore this engaging career growth prospect!
Quick Overview
Job Description
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:
Visa status:
Availability:
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.
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