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F2F - React full-stack Developer- Dallas, TX

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Cystems Logic
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    Full Stack Developer, React.js, Azure, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

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.

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 Data Sphere 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 Data Sphere 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

Additional Information

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