NetApp Emerging Talent - Information Technology Roles

NetApp is a leader in intelligent data infrastructure, delivering solutions that help organizations unlock the potential of their data. As an IT Engineer early in your career, you will participate in planning, development, verification, troubleshooting, and delivery of systems or major subsystems, collaborating with teams to tackle real-world challenges.

Responsibilities

• Excellent oral and written communication skills
• Experience with IT systems (applications, servers, networking, etc.) or IT practices (operations, change control, release management)
• Ability to work collaboratively with cross-functional and technical team members to support deadlines
• Ability to work independently
• Strong aptitude for learning new technologies and understanding how to utilize these in a customer-facing environment
• Multi-tasking and organizational skills
• Sense of urgency and determination to complete work
• Creative and analytical approach to problem-solving
• Project experience in data analysis, statistical modeling, and hypothesis testing
• Working knowledge of one or more statistical analysis tools or languages & related libraries/packages: R (preferred), Python (preferred), SPSS, SAS, etc
• Knowledge and application of concepts important in Machine Learning: e.g., cross-validation, regularization, bootstrapping, etc

Skills

• Excellent oral and written communication skills
• Experience with IT systems (applications, servers, networking, etc.) or IT practices (operations, change control, release management)
• Ability to work collaboratively with cross-functional and technical team members to support deadlines
• Ability to work independently
• Strong aptitude for learning new technologies and understanding how to utilize these in a customer-facing environment
• Multi-tasking and organizational skills
• Sense of urgency and determination to complete work
• Creative and analytical approach to problem-solving
• Project experience in data analysis, statistical modeling, and hypothesis testing
• Working knowledge of one or more statistical analysis tools or languages & related libraries/packages: R (preferred), Python (preferred), SPSS, SAS, etc
• Knowledge and application of concepts important in Machine Learning: e.g., cross-validation, regularization, bootstrapping, etc
• R (preferred)
• Python (preferred)

Benefits

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off (PTO)
• Various Leave options
• Performance-Based Incentives
• Employee stock purchase plan
• Restricted stocks (RSU9s)
• Hybrid working environment designed to strengthen connection, collaboration, and culture for all employees

Company Overview

Company H1B Sponsorship