招聘
About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.
Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the Team
As a member of the Data Engineering team, you will collaborate with cross-functional teams to develop and manage the data infrastructure supporting Netskope products. You will gain experience in building a complex, multi-tenant data lakehouse that operates at scale, leveraging cutting-edge technologies within a public cloud environment.
What You'll Gain
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Hands-on Experience: Work on code that supports our production data platform and protects millions of users globally.
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Mentorship: Receive one-on-one guidance from senior engineers and industry experts in the exciting space of Data and Cloud Analytics.
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Tech Stack Exposure: Dive into cutting-edge technologies like Spark, Iceberg, Kubernetes, Trino, Looker.
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Real-World Impact: An opportunity to contribute to the design and development of large-scale, reliable enterprise data services.
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Technical & Business Skills: Solve interesting challenges that improve the depth and breadth of your technical and business knowledge.
What You Will Be Doing
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Assist in the development of services used by Netskope products to validate, transform, load, and perform analytics on large amounts of data using distributed systems.
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Support the team in researching and evaluating various open source technologies for potential use cases.
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Contribute to the testing and documentation of scalable data mining and data analytics frameworks.
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Learn and apply best practices in system architecture by working with other engineering teams.
Minimum Qualifications
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Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
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Proficiency or coursework in at least one of the following programming languages: Scala, Python, Java, or Golang.
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Solid foundation and understanding of data structures and algorithms.
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Familiarity with distributed systems or large-scale data processing concepts.
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Excellent verbal and written communication skills.
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Intention of pursuing a career in Data Engineering.
Apply now and be part of our world-class engineering team!
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information, or visiting our Netskope Careers site.
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About Netskope

Netskope
Series F+Held company.
1,001-5,000
Employees
Denver
Headquarters
$7.5B
Valuation
Reviews
3.6
1 reviews
Work Life Balance
2.0
Compensation
3.0
Culture
2.5
Career
3.0
Management
2.5
20%
Recommend to a Friend
Cons
Poor work-life balance expectations
Required to work beyond standard 40 hours
Expected to work until 8pm local time
Salary Ranges
35 data points
Junior/L3
Junior/L3 · ANALYTICS SPECIALIST I
1 reports
$59,824
total / year
Base
$52,021
Stock
-
Bonus
-
$59,824
$59,824
Interview Experience
47 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 62%
Neutral 26%
Negative 12%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
Abstract Security partners with Netskope to bring real-time detection into security data streams - SiliconANGLE
Source: SiliconANGLE
News
·
5w ago
Telefónica Tech unveils Netskope-based SSE for UK, Ireland - IT Brief UK
Source: IT Brief UK
News
·
6w ago
Has The Recent Slide In Netskope (NTSK) Created A Fair Entry Point For Investors? - simplywall.st
Source: simplywall.st
News
·
6w ago
Massachusetts Financial Services Co. MA Makes New Investment in Netskope Inc. $NTSK - MarketBeat
Source: MarketBeat
News
·
6w ago