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AI Data Engineer

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Hewlett Packard Enterprise

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Location:
United States , San Juan

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The AI Data Engineer role involves designing and implementing cloud platforms for big data exploration, deploying data science solutions into cloud environments, and collaborating with teams on cloud technologies and workflows. The position focuses on cost-saving strategies, CI/CD pipelines, orchestration, and containerization.

Job Responsibility:

  • Research, propose, design, implement, operate and maintain cloud platforms for big data exploration and visualization, in support of a team of data scientists
  • deploy data science solutions into cloud environments
  • work with data scientists to troubleshoot cloud workflows
  • closely collaborate with our datalake team on cloud technologies
  • identify and implement cost-saving strategies to reduce ongoing cloud expenses
  • build CI/CD pipelines
  • deploy and maintain orchestration and monitoring systems for big data processing
  • help build images and containerize applications

Requirements:

  • Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline
  • 4-7 years’ experience
  • strong programming skills in Python, Java, Golang, or JavaScript
  • good understanding of distributed systems, event-driven programming paradigms, and designing for scale and performance
  • experience with cloud-native applications, developer tools, managed services, and next-generation databases
  • knowledge of DevOps practices like CI/CD, infrastructure as code, containerization, and orchestration using Kubernetes
  • good written and verbal communication skills
  • comfortable with AWS services
  • familiarity with the landscape of big data exploration, visualization, and prototyping platforms
  • familiarity with statistical and machine learning techniques
  • familiarity with wireless and wired networking protocols

Nice to have:

  • 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)
What we offer:
  • Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing
  • specific programs catered to professional development
  • inclusive working environment

Additional Information:

Job Posted:
July 31, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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