Cloud Data Engineer

Location: San Juan, Puerto Rico, Puerto Rico, Aguadilla, Puerto Rico, Puerto Rico

Time Type: Full time

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.

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 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

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

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

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.

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.