Principal Data Engineer at Dragos

Job description

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 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. Partner 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 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. Compensation : Salary: $225,000 Competitive Equity Package Comprehensive Benefits Plan #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.

Requirements

Must-haves

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.
Partner 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.
10+ years of data engineering 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

rustgopythonnode.jskubernetesdocker

Platform: greenhouse
Effort: quick