Sr Engineer, Data Systems

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 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 role We are looking for a motivated and skilled Data Systems Engineer to support the development and operation of systems that track software usage and manage licensing entitlements. The ideal candidate will bring technical proficiency in Python, data integration, and visualization tools with the ability to collaborate across teams. What’s in it for you This role is well‑suited for an engineer who enjoys building automation, working with diverse data sources, and contributing to scalable analytics systems that drive business decisions. What you will be doing Assist in designing and developing automated systems for usage tracking, entitlement enforcement, and reporting. Build and maintain dashboards and data visualizations that provide insight into product usage and compliance. Contribute to the development of ETL pipelines and data workflows for usage and entitlement data. Apply machine learning and statistical techniques (with guidance) to detect anomalies and predict usage trends. Support database operations, ensuring data is well‑structured, queryable, and secure. Work with APIs and cloud‑based systems to ingest and integrate data from various internal tools. Collaborate with engineers, analysts, product managers, and business teams to ensure automation aligns with goals. Help maintain and improve the performance and reliability of existing automation and reporting tools. Required skills and experience 5 to 8 years of experience in data engineering, analytics, or automation roles. Strong proficiency in Python for data analysis, scripting, and automation. Working knowledge of SQL and NoSQL databases, with experience in writing queries and managing data structures. Experience with machine learning libraries (e.g., Scikit‑Learn) and interest in developing predictive models. Experience with data visualization tools such as Tableau, Power BI, or Lookerli> Experience with cloud platforms (AWS, GCP, or Azure) and data services. Experience working with REST APIs and integrating data from multiple systems. Education Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s a plus). #LI‑CV1 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,, 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. #J-18808-Ljbffr