• Design information architecture to support an operational data store for data exchange across the Medicaid enterprise • Design and engineer 100% AWS cloud-native application components • Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by implementation team • Review data architectures to determine effectiveness, efficiency, and alignment with enterprise objectives • Develop comprehensive implementation and remediation strategies for data architecture non-compliance • Develop an architectural strategy for metadata management, including tooling and metadata governance • Manage metadata models that support data quality and mastering processes • Develop and maintain Conceptual, Logical, and Physical data models at the enterprise level and for specific data domains within Medicaid (Provider, Member, Claim, Reference) • Review data models with business owners and obtain approval from the data governance committee • Define, and maintain, business rules for data elements in conjunction with business owners and the data governance committee • Research emerging technologies, data modelling methods, and information management systems • Perform data mapping between the canonical models and data formats (both input and output) such as X12 EDI, FHIR, and other structured JSON, XML, or proprietary formats • Support database administrators, network designers and IT personnel on designing and managing the organization's data infrastructure and overall data strategy • Participate in Data Governance Committee meetings, representing the architecture team • Collaborate with internal and external personnel, including solution architects, software developers, database administrators, design analysts and information modelling experts to determine project capabilities, requirements, and timelines

• Seek candidates for the role of a Principal Data Links & Communication Engineer • Requires Link 22 and tactical data links engineering experience • Advise and assist the program Chief Engineer, IPT Leads, and PMs on performance, schedule, and cost issues • Provide knowledge and experience in the development, integration, testing, and deployment of Air Force systems and associated data links • Interface with the Federal, DoD, USAF, USA, and Joint communities to ensure data link communication capability compliance

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.