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60 Netapp Methods Engineer Jobs Hiring Near You

NetApp

Senior Solutions Engineer - Dallas

Addison, TX · Remote

$53.50 - $69/hr

Working alongside your Client Executives, channel partners, and NetApp specialists, you'll play a ... Familiarity with enterprise sales methodologies such as MEDDICC, account planning, opportunity ...

NetApp

Technical Account Manager

Wichita, KS · On-site

Job Summary As a Technical Account Manager (TAM) at NetApp, you will blend technical expertise with ... Engineer, Security and Compliance Lead), becoming a trusted technical advisor and advocate ...

NetApp

Technical Account Manager

Boulder, CO · On-site

Job Summary As a Technical Account Manager (TAM) at NetApp, you will blend technical expertise with ... Engineer, Security and Compliance Lead), becoming a trusted technical advisor and advocate ...

NetApp

Technical Account Manager

Morrisville, NC · Hybrid

Position Overview: As a Technical Account Manager (TAM) at NetApp, you will blend technical ... Engineer, Security and Compliance Lead), becoming a trusted technical advisor and advocate ...

NetApp

Technical Account Manager

Wichita, KS

As a Technical Account Manager (TAM) at NetApp, you will blend technical expertise with exceptional ... Engineer, Security and Compliance Lead), becoming a trusted technical advisor and advocate ...

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Does NetApp pay people when they’re sick?

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80% of people report that they would recommend working with their immediate team to a friend.
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Infographic showing various Methods Engineer job openings at Netapp in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Science and Machine Learning Software Engineer (3511)

NetApp

Sunnyvale, CA

$134K - $161K/yr

Full-time

Re-posted 12 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 496 rated business services

Job description

Company Description

NetApp creates innovative storage and data management solutions that help accelerate business breakthroughs and deliver outstanding cost efficiency. Our dedication to principles of simplicity, innovation, and customer success has made us one of the fastest-growing storage and data management providers today.

Customers around the world choose us for our "go beyond" approach and broad portfolio of solutions for business applications, storage for virtual servers, disk-to-disk backup, and more. Our solutions provide nonstop availability of critical business data and simplify business processes so you can deploy new capabilities with confidence and get to revenue faster than ever before. 

You can rely on our industry-leading solutions to lower the cost of protecting your data, business, and reputation. We bring together the industry's best partners and technology to deliver services that help you maximize what you are getting from your infrastructure. Our collaborative approach, working as one team with one goal, means that you get a solution that is just right for you-on time and on budget. 

To support your global business, we provide highly-responsive support in local languages. From London to Austin, from Bangalore to Tokyo, we'll work with you to solve your problems and reach your goals.

Discover our passion for helping companies around the world go further, faster at www.netapp.com.

Interested in working at NetApp? Search our open jobs - www.netapp.com/us/careers/ 

Job Description

Job Summary

As the leading Data Management company, Netapp is driving a lot of growth and scale for its customers and partners using the Big Data and Data Analytics. The ability to create value out of the IOT data from the world class NetApp storage products and solutions is a key differentiator for business growth. Netapp is looking to hire Data Analytics and Data Science engineers/ architects to pioneer its solutions and scale it for mass adoption.

As a Data Science and Machine Learning Software Engineer you will work as part of a team responsible for building, designing and building Cloud Based (Software as a Service) Platform and Analytics services based on AutoSupport (ASUP)  for NetApp storage products.  As part of the Data Science and Machine Learning team, the overall focus of this group is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market.  As a Data Scientist, you will focus on developing new algorithms for real-time personalized search and recommendation using IOT data.

Essential Functions:

A willingness to work on additional tasks and responsibilities that will contribute towards team, department, and company goals. 

Qualifications

Requirements:

The candidate needs to have previous Data Science and machine learning experience using SparkML/MLlib technologies to solve large-scale problems. A strong understanding of distributed systems and strong experience in using open source framework to build applications is required.

Excellent understanding and implementation experience of Hadoop Architecture, including technologies: 

Data Storage: HDFS, HBase, HIVE

Data Processing, Analysis & Integration: Spark, Map Reduce, Impala, Sqoop

Experience in Agile development methodology

Responsibility: 

Interaction:

Education

Equal Opportunity Employer Minorities/Women/Vets/Disabled.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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Hours and flexibility

Workplace

Get the full story on Breakroom

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US

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