NetApp Emerging Talent - Information Technology

NetApp, Inc. • Durham, NC

2d

About The Position

At NetApp, we embrace innovation and technology to deliver compelling solutions for our business. From micro-services to the latest web frameworks, our IT team covers a wide gamut of technologies and applications.

Role Overview: As an IT Engineer early in your career, you will be an integral part of our dynamic team, participating in planning, development, verification, troubleshooting, and delivery of systems or major subsystems. This position is perfect for individuals who are creative, team-oriented, tech-savvy, and driven to produce results.

Why NetApp? We invest heavily in new talent. Your energy and fresh ideas are vital to cementing our position as a market leader. We’ll push you beyond your comfort zone with the belief that no idea is off-limits. At the same time, you’ll have all the resources, mentoring, and feedback you need to grow. What’s more, whatever your role, you can be yourself in a team that celebrates individuality and welcomes different perspectives.Job RequirementsAs part of our Information Technology group, you will work closely with a team that supports and enhances NetApp’s worldwide business processes and systems. Our IT Engineer roles vary depending on the team and scope of work, but some potential areas of focus and skill sets may include:

Requirements

• 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

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 (RSU’s)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees