Cloud Data Engineer

Cloud Data EngineerThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Job Description:

Job Family Definition:

Description

As a data engineer, you’ll ensure the reliability, performance, and security of applications. You’ll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You’ll bridge the gap between data engineering and advanced AI-driven applications. You’ll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You’ll contribute to product development in programming, data analysis and CI/CD infrastructure

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
• Work with SMEs and data scientists to increase accuracy of actionable insights

Education and Experience Required

• Degree in Computer Science, Information Systems, or equivalent
• Master's with 2 years of data engineering experience
• At least 4 years of work experience in relevant technologies

Knowledge and Skills

• 2+ years of programming experience in Python
• 1+ years of programming experience in Java
• Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
• Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
• 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
• Experience developing applications in Cloud computing environments with at least 2 years of relevant experience

Additional Desirable Skills

• Good understanding of WiFi Wireless Networking, Switching and Routing concepts
• Experience in one or more deployment tools such as Airflow or ArgoCD

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

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Job:

Engineering

Job Level:

TCP_03

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.