hpe
Cloud Data Engineer
At a Glance
- Location
- San Jose, California, United States
- Employment
- Full time
- Experience
- 2+ years
- Posted
- 2026-08-14
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Finance
Requirements
Master's with 2 years of data engineering experience
2+ years of programming experience in Python
1+ years of programming experience in Java
Experience with managing and analyzing large data sets
Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
Good understanding of WiFi Wireless Networking, Switching and Routing concepts
Compensation & Benefits
https://myhperewards.com/main/new-hire-enrollment.html
Responsibilities
Application design and development in streaming or batch mode over Kafka and Spark
Building RAG pipelines and Agents/Tools
Evaluate and implement new technologies and tools to improve efficiency and reduce cost
Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product
Build CI/CD pipelines
About the Company
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.