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 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:
What We Can Offer You:
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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
EngineeringJob Level:
TCP_03
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 made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
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.
Skills 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
- 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
Hewlett Packard Enterprise Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hewlett Packard Enterprise and has not been reviewed or approved by Hewlett Packard Enterprise.
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Parental & Family Support — HPE is associated with extensive paid parental leave and transition options that allow a part-time return for an extended period, alongside supports like adoption and fertility resources. Family-oriented programs such as backup care are also part of the package, reinforcing day-to-day caregiving support.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings include always-available virtual counseling, mindfulness resources, and fitness access, positioning mental health support as a visible benefit. “Wellness Fridays” and paid volunteer time add lifestyle-oriented time flexibility beyond standard PTO.
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Retirement Support — Retirement benefits include a 401(k) match, alongside standard insurance coverage, which provides a baseline level of long-term financial support. An employee stock purchase option is also described, adding an additional savings mechanism for participants.
Hewlett Packard Enterprise Insights
What We Do
In 1939, Bill Hewlett and Dave Packard, college friends turned business partners, started the original Silicon Valley startup in the space of a rented Palo Alto garage. Starting with audio oscillators, the friends built the foundation for a company that would grow to become a global leader in enterprise technology. More than 75 years later, our success is exemplified through our employees’ drive to advance ideas that bring meaningful innovations to life for our customers and partners around the globe. We are guided by our mission to help customers use technology to turn ideas into value, and empower them to transform industries, markets and lives. We simplify Hybrid IT, power the Intelligent Edge and provide the expertise to make it all happen.
