Hewlett Packard Enterprise

CloudDataEngineer

San Juan, Puerto Rico, Puerto Rico FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Cloud Data Engineer at Hewlett Packard Enterprise. Skills: Cloud Data Engineering, Data Pipelines, AI/ML, Generative AI, Agentic AI, Python, Java, Spark, Kafka, Kubernetes, Airflow, Cloud Computing. Ensure the reliability, performance, and security of applications. Design, build, and maintain data pipelines, platforms, and services”

What You'll Achieve.

Increase the accuracy of AI outcomes in our device management product; Increase accuracy of actionable insights

Industry & Context.

Problems you'll solve

Analyze and validate telemetry data; Learn error patterns; Produce views that show network problem conditions and patterns

What They're Looking For.

Must Have

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, 2+ years of programming experience in Python, 1+ years of programming experience in Java, 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

Nice to Have

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

What You'll Do.

Ensure the reliability

and security of applications

and maintain data pipelines

Bridge the gap between data engineering and advanced AI-driven applications

Work with cutting-edge AI/ML technologies like LLMs

enabling intelligent automation and deep data insights

Contribute to product development in programming

data analysis and CI/CD infrastructure

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

Build CI/CD pipelines

How You'll Work.

Team & Collaboration

Collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services; 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; Work with SMEs and data scientists to increase accuracy of actionable insights

Full Job Description

Cloud Data Engineer This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. **Who We Are:** 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. **Job Description:** 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 inc

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