At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place. About the Role You will be joining the Data Engineering Community that specializes in data pipeline design within a matrix style organization. This community serves as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. You will be working cross-functionally to create analytics and pipelines to discover IOCs on xOT assets within networks. Responsibilities As a Principal Data Engineer within the Data Engineering Community, you will: Lead cross-functional efforts to re-architect or modernize core data systems. Create sustainable data contracts that address data governance requirements. Enable scalable, secure, and reliable data pipelines that support both cloud and on-prem environments. Implement real-time data processing solutions for configuration and asset communication pipelines. Partners with leadership to align team efforts to broaden company data strategy. Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products. Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation. Minimum Qualifications - 10+ years of data engineering experience - Cybersecurity experience - Architecture expertise creating scalable systems, designing efficient data storage and processing systems. - Expertise in data modeling including incremental models, dimensional models, network topologies and graph structures. - Cross-functional communication skills. - Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability. - Software development skills in Rust, Go, JVM-family, Python, and/or Node.js languages. - Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant if cybersecurity or industrial data. - Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker. - Experience with message queues, stream processing on deployable infrastructure. - Detailed domain familiarity and prior experience in at least one data-heavy field / product market segment, especially relevant if knowledgeable in cybersecurity threat detections, threat intelligence, or ICS/OT operations. Even if you don’t think you meet all of these qualifications, we encourage you to apply. We are always on the lookout for good data engineers and even if this role isn’t a good fit, we may have other opportunities for you to explore. Compensation: - Salary: 225,000.00 - Competitive Equity Package - Comprehensive Benefits Plan #LI-JF1 #LI-REMOTE #LI-NH1 #LI-REMOTE Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.

At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place. About the Role You will be joining the Data Engineering Community that specializes in data pipeline and structure design within a matrix style organization. This community serves as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. Responsibilities As a Staff Data Engineer within the Data Engineering Community, you will: Create sustainable data contracts that address data governance requirements. Model complex data sources into performant analytics. Create and manage a data transformation layer that can become a core part of our analytic process. Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products. Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation. Minimum Qualifications - 7+ years of data engineering experience. - Cybersecurity experience - Experience dimensional modeling and working with incremental data models. - Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability. - Software development skills in Go, JVM-family, Python, and/or Node.js languages with cloud-native architectures. - Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant if cybersecurity or industrial data. - Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker. - Experience with message queuing, stream processing on deployable infrastructure. - Detailed domain familiarity and prior experience in at least one data-heavy field / product market segment, especially relevant if knowledgeable in cybersecurity threat detections, threat intelligence, or ICS/OT operations. Even if you don’t think you meet all of these qualifications, we encourage you to apply. We are always on the lookout for good data engineers and even if this role isn’t a good fit, we may have other opportunities for you to explore. Compensation: - Salary: 192,000.00 - Competitive Equity Package - Comprehensive Benefits Plan #LI-JF1 #LI-REMOTE #LI-NH1 #LI-REMOTE Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.

• Lead the design, development, and implementation of D365 CRM solutions, ensuring alignment with business requirements and best practices. • Collaborate with clients to gather and analyze requirements, translating them into technical specifications and solutions. • Develop and customize D365 CRM applications, including workflows, plugins, and integrations with other systems. • Provide technical guidance and support to junior consultants and team members, fostering a collaborative and knowledge-sharing environment. • Conduct system testing, troubleshooting, and performance tuning to ensure optimal system functionality and user experience.

Role Description L'ingénieur de données contribue à la mise en place des actifs de données et des solutions corporatives de gestion des données, notamment les entrepôts de données, les comptoirs de données, les solutions de gestion des données de référence ainsi que les solutions d'intégration de données. - Participer à la réalisation des solutions de gestion de données du secteur en collaboration avec les différentes parties prenantes. - Coordonner la collecte, la formalisation et la documentation des besoins de l'organisation en matière de gestion des données. - Comprendre et valider les besoins exprimés par l'équipe en étroite collaboration avec le Product Owner (PO) et les utilisateurs. - Participer à la conception, à la programmation, à la configuration et à l'intégration des solutions en appliquant l'approche "juste assez, juste à temps". - Utiliser les meilleures pratiques de développement recommandées par les Centres d'excellence (COE). - Appliquer les bons patrons de conception, de découpage et de modélisation pour les traitements, les données et l'infrastructure d'hébergement. - Assurer la sécurité et la confidentialité des informations numériques. - Développer des essais automatisés et en favoriser l'adoption. - Réaliser les essais requis tout au long du cycle de développement jusqu'à la mise en production. - Mesurer la qualité des solutions développées (performance, robustesse, couverture de tests, etc.). - Mettre en place et utiliser des pipelines d'intégration et de déploiement continus (CI/CD). - Communiquer et discuter des choix techniques avec les membres de l'équipe. - Participer à la révision et à la validation du code produit par les pairs. - Assurer le soutien technique des solutions en production (anomalies, entretien, surveillance, etc.). - Contribuer à la création et au maintien de la documentation nécessaire à la pérennité des solutions. Qualifications - Minimum de 5 années d'expérience pertinente en tant que développeur ETL et analyste de données. - Minimum de 3 années d'expérience avec Azure Data Factory (ADF). - Expérience avec des technologies de gestion de données telles que Snowflake, Power BI et autres outils comparables. - Bonne connaissance des principes Agile et DevOps (Scrum, Lean) et capacité de les appliquer dans un contexte de travail collaboratif. - Connaissance des technologies infonuagiques, de la virtualisation, des conteneurs et d'Azure DevOps. - Connaissance des patrons de conception, d'architecture et de découpage. - Bonne maîtrise des concepts de gestion et d'intégration de données ainsi que des techniques de développement de solutions de données. - Expérience comme analyste de données dans des projets décisionnels : entrepôts de données, comptoirs de données, lacs de données, etc. - Excellente capacité d'analyse et de résolution de problèmes. - Bon communicateur et esprit d'équipe. - Flexibilité et autonomie dans la gestion des priorités et des relations professionnelles. - Connaissance de l'industrie de l'assurance ou des services financiers (atout).