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Salary: USD 165,000 - 0 / annual
Dragos is the global leader in xOT (extended Operational Technology) cybersecurity, protecting critical infrastructure systems—water, power, hospitals—that are under constant attack. You will join the Data Engineering Community, a matrix-style organization specializing in data pipeline and structure design. This community serves as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across product-focused initiatives.
In this role, 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 becomes a core part of the 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
You will work on medium-to-large scale datasets in a cybersecurity and industrial operations context, designing robust data structures and implementing observability frameworks. The role emphasizes cloud-native architectures with deployments on Kubernetes and Docker, as well as integration of cloud and on-premises technologies in industrial environments.
REQUIREMENTS:
- 5+ years of data engineering experience
- Experience with dimensional modeling and 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 languages, Python, and/or Node.js with cloud-native architectures
- Experience manipulating, processing, and extracting value from medium-to-large scale datasets (cybersecurity or industrial data preferred)
- Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker
- Experience with message queuing and stream processing on deployable infrastructure
- Detailed domain familiarity and prior experience in at least one data-heavy field/product market segment (cybersecurity threat detection, threat intelligence, or ICS/OT operations preferred)
