HPE Networking
Networking
AI/MLDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI/ML Data Engineer at HPE Networking. Skills: Data Engineering, AI/ML, Data pipelines, Feature Store. Develop data pipelines. Maintain data pipelines”
What You'll Achieve.
Turn insights into outcomes; Simplify journeys; Reduce friction; Create meaningful outcomes; Embed intelligent technology; Deliver proactive experiences; Deliver predictive experiences; Shorten resolution times; Accelerate task completion; Modernize processes; Accelerate self-service; Shift support anticipatory; Deliver seamless experiences; Enable business transformation
Industry & Context.
Solve complex technical problems; Creative solutions; Root cause analysis
What They're Looking For.
Must Have
5+ years of data analysis and engineering experience, Bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field, Working knowledge of API or Stream-based data extraction processes, Hands-on experience in web crawling
Nice to Have
Snowflake administration experience preferred
What You'll Do.
Develop data pipelines
Maintain data pipelines
Optimize data pipelines
Develop Feature Store
Maintain Feature Store
Optimize Feature Store
Ensure data ingestion
Ensure data transformation
Design Data Engineering pipelines
Develop Data Engineering pipelines
Implement Data Engineering pipelines
Architect Data Engineering pipelines
Implement data transformations
Implement quality checks
Ensure data completeness
Ensure data consistency
Integrate data from diverse sources
Leverage AWS S3 Storage
Implement data models
Implement data schemas
Ensure data governance
Ensure data management best practices
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; Build working relationships
Process & Methodology
Time management
Full Job Description
AI/ML 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:** At **HPE Networking** , the **Digital Experience & Automation (DEA)** team is reimagining how people experience support and services in a digital‑first world - setting new standards for the future of networking. We enable customers, partners, and employees through AI‑driven tools and modern platforms, transforming support into a unified, efficient, and simple experience that drives measurable value. Our mission is grounded in **innovation with purpose** : applying automation, AI, and data‑driven insights to simplify journeys, reduce friction, and create meaningful outcomes at every touchpoint. DEA’s charter is to discover, evaluate, and scale solutions that **embed intelligent technology into every interaction** \- delivering proactive and predictive experiences that shorten resolution times and accelerate task completion. By modernizing processes and accelerating self‑service, we help shift support from reactive to truly anticipatory. We partner closely with technology providers, engineering, and business teams to deliver seamless omnichannel experiences and enable business transformation through data engine
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