React UI Engineer - Azure / Data Engineering
$51 per hourTemporary
Kforce has a client in Chicago, IL that is seeking a React UI Engineer - Azure/Data Engineering. Summary: The ideal candidate will bring strong React JS expertise, hands-on experience with Azure cloud technologies, and enough data engineering/ETL knowledge to effectively partner with backend and platform teams. This is a great opportunity for someone who can bridge front-end development, cloud infrastructure concepts, and data-centric application design. Key Responsibilities:
- Design, build, and enhance modern, responsive UI components for the Dataflow internal product using React JS
- Collaborate with product, platform, and engineering teams to translate business and technical requirements into intuitive front-end solutions
- Integrate UI components with backend services and data workflows supporting enterprise data movement and processing
- Work within an Azure-based environment, leveraging knowledge of containers, storage, and Kubernetes-based compute
- Partner with data engineering teams to support UI features tied to ETL workflows, data pipelines, and data processing operations
- Contribute to application performance, scalability, and usability improvements
- Participate in code reviews, testing, debugging, and ongoing enhancement of the platform
- Help ensure front-end solutions align with enterprise architecture, security, and development standards
- Strong hands-on experience building front-end applications with React JS
- Experience working in Azure cloud environments
- Experience with Kubernetes, especially in environments where it is used heavily for compute and application orchestration
- Working knowledge of ETL processes and broader data engineering concepts
- Ability to collaborate effectively with both UI/application engineers and data/platform teams
- Strong problem-solving skills and ability to work in a fast-paced enterprise environment
- Python, Spark experience is nice to have
- Azure Storage
- Containers
- Cloud-based application deployment concepts
- Experience with Python
- Exposure to Apache Spark
- Additional experience with Kubernetes in application deployment, scaling, or orchestration contexts
Vacancy posted 11 days ago
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