Senior Security Data Engineer
4 weeks ago
Responsibilities
- Generate Synthetic data: Build validation data from examples of security data. Combine powerful synthetic data generation with sophisticated coverage analysis to create the smallest set of data needed for comprehensive testing.- Data Validation: Build Validation frameworks for ML models.- Team Collaboration: Partner with data science teams to tailor AI solutions.- Store and reuse existing data: Centrally store data as a reusable asset that can be received in minutes, cloned as it’s provisioned and matched to the exact tests it can run.- Overseeing Data Architecture and Management: design and maintain a scalable and secure data architecture. Handle cybersecurity data, informing AI model development.- Ensuring Data Quality and Integrity: takes the lead in ensuring that data is accurate, consistent, and reliable.- Ensuring Data Security and Privacy: ensuring that data is stored securely, access controls are in place, and data privacy regulations are adhered to.- Work autonomously: little or no supervision on important, time-sensitive, and highly visible assignments.- Industry Awareness: Keep updated with data management, AI, and cybersecurity advancements.- Effective Communication: Convey concepts within the cybersecurity context.
Required Skills
- Bachelor's or degree in computer science, data engineering, or a related field is essential.- 3+ years of experience- Professional experience in data engineering, software development, or database administration.- Knowledge of programming languages such as Python, SQL, and/or Java.- Knowledge in data engineering concepts, including data modeling, database design, ETL (Extract, Transform, Load) processes, and data warehousing.- Familiar with Big Data technologies, cloud platforms, and data visualization tools.- Knowledge of Artificial Intelligence/Machine Learning concepts.- Able to convey complex ideas in a clear and concise manner and bridge the gap between technical and non-technical teams.- Adaptable with the ability to quickly learn new technology.
About the Company: System Two Security is driving SOC transformation with its unique application of AI computing with an initial focus on generative AI powered proactive threat research, threat analysis and iterative threat hunting. The product’s purpose-built language agents respond to new threat actors and attack patterns within minutes with its agentic workflows delivering end-to-end threat detection and containment from integrated feeds of raw cyber threat advisories. Early users of the product include prominent MSSPs, and enterprise SOCs across retail, healthcare, SaaS and technology verticals. It is based in Palo Alto, CA and is venture funded by The Hive.
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