Platform Growth Engineer

Netskope • Saint Louis, MO

53d

About The Position

We are seeking a detail-oriented and insightful Engineer to join our Platform Growth Engineering team at Netskope. In this role, you will be responsible for transforming raw data from systems and services into actionable insights. Using these insights, you will work with both business and technical teams to drive critical decisions and coordinate schedules with a focus on optimizing platform performance and scale. 

This is a highly collaborative role. You will work closely with various internal and external stakeholders to understand their needs, analyze complex datasets, and communicate your findings effectively. If you have a passion for uncovering trends, solving problems with data, and helping an organization leverage its information assets, we want to hear from you.

Requirements

• Must be a U.S. Citizen and eligible to obtain or hold a security clearance (e.g., Public Trust, Secret, or higher).
• Familiarity with Fedramp High and PBMM compliance environments
• Degree holders in STEM-related fields or equivalent experience
• Deep knowledge of networking and distributed systems with emphasis on data analysis for the purpose of balancing between scale and performance
• Proficiency in at least one programming language for data analysis (e.g., Python with libraries like Pandas, NumPy, Matplotlib, or R).
• Strong understanding of data modeling and best practices for event capture, ETL, and warehousing
• Experience with data visualization tools (e.g., Tableau, Grafana, Google Data Looker Studio).
• Understanding of network protocols and how data networks work
• Experience working with network/network security related data
• Effective communication and presentation skills, with the ability to convey complex information clearly
• Ability to work independently and lead virtual teams in a fast-paced environment

Responsibilities

• Work with internal and external stakeholders to gather situational inputs that will impact platform-product growth analysis
• Identify and track platform-product gaps and drive to resolution
• Collaborate with SRE and engineering development teams on data analysis for various systems and services
• Identify and gather relevant data from internal sources
• Apply statistical techniques and methodologies to analyze complex datasets
• Perform exploratory data analysis to identify trends, patterns, correlations, and anomalies

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees