STAFF DATA ENGINEER, DATA SECURITY (DLP)

Staff Data Engineer, Data Security (DLP) - The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products ensure that customers data is protected wherever it lives. Our engineers work on architecting, designing, and delivering the next generation of highly scalable, effective, and high-performance data loss prevention solutions. You will have the opportunity to build best-in-class data security solutions using different technologies while working with a talented and experienced team of engineers and content in a dynamic and collaborative environment. Whats in it for you We are looking for engineers who are passionate about identifying and detecting sensitive or confidential data in order to protect it. As a member of the Netskope Data Security team you will design and deliver highly effective, scalable and high-performance software solutions required for the next generation of content inspection and data protection. What you will be doing Developing or assisting in the development of software tools for processing relevant information from a variety of structured and unstructured data sources. Collecting, cleaning, analyzing, and organizing data of various types. Developing or assisting in the development of language and linguistics data such as vertical dictionaries, grammars, phrase and idiom lists, and corpuses for analysis and testing. Developing or assisting in the development of regular expressions which can match numbers, terms and other alphanumeric expressions. Researching variations in prescriptive and organic orthographies for dozens of languages. Identifying and leveraging data resources from various sources of knowledge to normalize context-relevant information. Required experience and education A Bachelor's or Master's Degree in Data or Computer Science with additional extensive formal study or work experience in Linguistics, Symbolic Systems, Taxonomy, or a related discipline. Must be a native or near-native, fluent speaker of English. Proficiency in Python or similar computer languages, with a strong background in creating advanced re, ICU, or PCRE regular expressions. Must be able to perform deep online research from credible sources and perform document searches in a wide variety of human languages. Experience with developing rule-based NLP applications or manual POS annotation is a plus. Personal skills Must have an extremely good eye for detail this is absolutely crucial. Have an interest in social or online language, or foreign language idioms or colloquialisms. Possess a strong ability to effectively work independently as part of a small remote team. Must have excellent proofreading skills, obsessive to the point of wanting to fix restaurant menus with Wite-Out or Sharpies (but doesn't). Must be able to think creatively and possess strong analytical and problem-solving skills. IMPORTANT NOTES This role will entail working with and analyzing personal and business confidential information subject to state or federal privacy laws and regulations, and may entail working with data that contains offensive, abusive, and sexually explicit content or terminology. As such this project is not suitable for anyone who may find such content upsetting or disturbing.