Cloud Data Engineer

Hybrid Work Expectation 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 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 such as 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 Additional Skills 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) Benefits Health & Wellbeing - comprehensive suite of benefits supporting physical, financial and emotional wellbeing Personal & Professional Development - programs to help you reach career goals and grow within HPE Unconditional Inclusion - inclusive workplace that values and celebrates individual uniqueness Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. HPE is an 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 qualified applicants with criminal histories. #J-18808-Ljbffr Hewlett Packard Enterprise