Data Engineering Manager at Dragos will lead a team of data engineers responsible for the core data layer underpinning our products, with direct influence on analytics, asset, and vulnerability engineering. The ideal candidate has deep technical knowledge of distributed data systems, exceptional leadership skills, and a proven ability to develop high-performing teams grounded in cybersecurity or SOC experience. This role will drive modernization across the platform to improve performance and resource efficiency, and champion AI-assisted engineering practices. Responsibilities include mentoring engineers, driving hiring and team growth, owning the data platform's technical strategy and roadmap, collaborating with product and engineering teams to define data models and analytics architecture, ensuring data quality and reliability for threat detection workflows, establishing engineering best practices, and guiding design, development, testing, and release. You will own production support for fielded deployments and foster a strong technical community among Engineering Managers. Stay current with emerging data technologies to drive continuous improvement. Qualifications include 7+ years of engineering management, Agile in cross-functional product teams, cybersecurity or SOC experience, strong distributed data systems background, experience with Elastic Stack, Airflow, Docker, Kubernetes, PostgreSQL, ClickHouse, dbt; Rust is strongly preferred, and hands-on familiarity with AI-assisted tooling. This role requires comfortable hands-on development and excellent communication and l

Data Engineering Manager at Dragos will lead a team of data engineers responsible for the core data layer underpinning our products, with direct influence on analytics, asset, and vulnerability engineering. The ideal candidate has deep technical knowledge of distributed data systems, exceptional leadership skills, and a proven ability to develop high-performing teams grounded in cybersecurity or SOC experience. This role will drive modernization across the platform to improve performance and resource efficiency, and champion AI-assisted engineering practices. Responsibilities include mentoring engineers, driving hiring and team growth, owning the data platform's technical strategy and roadmap, collaborating with product and engineering teams to define data models and analytics architecture, ensuring data quality and reliability for threat detection workflows, establishing engineering best practices, and guiding design, development, testing, and release. You will own production support for fielded deployments and foster a strong technical community among Engineering Managers. Stay current with emerging data technologies to drive continuous improvement. Qualifications include 7+ years of engineering management, Agile in cross-functional product teams, cybersecurity or SOC experience, strong distributed data systems background, experience with Elastic Stack, Airflow, Docker, Kubernetes, PostgreSQL, ClickHouse, dbt; Rust is strongly preferred, and hands-on familiarity with AI-assisted tooling. This role requires comfortable hands-on development and excellent communication and l