Storage Performance Data Engineering Intern

At Hewlett Packard Enterprise (HPE), we live by three core values that drive our business: Partner. Innovate. Act. These values combine to help us create important work all over the world to advance how people live and work.

Learning does not only happen through training. Relationships are among the most powerful ways for people to learn and grow, and this is part of our HPE culture. In addition to working alongside talented colleagues, you will have many opportunities to learn through coaching and stretch assignment opportunities. You ll be guided by feedback and support to accelerate your learning and maximize your knowledge. We also have a reverse mentoring program which allows us to share our knowledge and strengths across our multi-generation workforce.

Hewlett Packard Enterprise s Storage Performance Data Engineering Organization is seeking a Data Engineer Intern to work in the Fort Collins, CO office. You'll be part of a specialized team that develops, tests, validates and analyzes industry leading storage products' performance data.

We are looking for a candidate who is passionate about applying cutting edge data science methods and technologies to solve challenging data engineering problems related to improving data quality, enhancing analytical capabilities and providing meaningful, actionable insights. You will be part of a very talented team working in an R&D lab environment where we investigate and provide solutions and tools for storage array performance data questions and problems.

Education and Experience Required:

  • Bachelors degree in CS or equivalent
  • 1st year of Master's program in data science completed
  • Strong development skills in Python
  • Solid database / data lake and/or object storage experience and skills
  • Working knowledge of C++ and/or Java
  • Experience with Linux systems and bash scripting
  • Knowledge of distributed computing, VMs, containers, orchestration and automation frameworks - Apache family of tools preferred
  • General understanding of Computer Architecture - storage systems familiarity preferred
  • Familiarity with tools such as pandas, ipython, and jupyter is highly desirable
  • Familiarity with performance testing and engineering and/or modeling and simulation will be advantageous

Expectations and Desired Characteristics:

  • Ability to work full time (40 hours per week) throughout summer on site in our Fort Collins, CO offices.
  • Individual should expect to work in a fast-paced R&D environment
  • Strong desire to contribute, sense of ownership, commitment to quality
  • Exceptionally strong analytical and problem solving skills
  • Excellent written and verbal communication skills
  • Strong presentation and collaboration skills
  • Proven ability to apply critical thinking and scientific methods

We offer:

A competitive salary and extensive social benefits

Diverse and dynamic work environment

Work-life balance and support for career development

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HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status

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