Full Stack Developer

CloudIngest; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

CloudIngest is seeking an experienced Full Stack Engineer with 8–10 years of practical work in React and Databricks/Azure. The role focuses on building modern web applications, dashboards, AI-enabled tools, and operational interfaces that leverage DataSphere and Databricks data assets.

You will migrate Databricks ETL to serverless Databricks, develop responsive UIs, resolve Azure network issues, and integrate with REST APIs.

Qualifications

• 8–10 years of experience as a Full Stack Engineer.
• Expertise in React and modern web applications.
• Experience with Databricks and Azure.
• Ability to build dashboards and AI-enabled tools.
• Experience integrating with REST APIs and backend services.
• Collaborates with stakeholders on UI/UX requirements.

Responsibilities

• Migrate Databricks ETL to serverless Databricks.
• Develop responsive, accessible user interfaces.
• Resolve Azure networking, proxy, firewall, and authentication issues.
• Integrate with REST APIs and backend services.
• Develop and deploy APIs in Azure.
• Build apps consuming Databricks, Snowflake, and Azure data sources.
• Develop health check dashboards and monitoring.
• Support chatbot and AI initiatives.
• Assist with Databricks Serverless migration efforts.

Skills

React

Databricks

Azure

Tools

Databricks

Azure

REST APIs

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 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