Principal Data Engineer

Dragos, Inc.

. Join the Data Engineering Community specializing in data pipeline design within a matrix-style organization .

Posted 11/4/2026full-timeRemote • United StatesLead💰 $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data engineering, focusing on scalable system architecture, data modeling, and real-time data processing solutions. Proficient in implementing data observability frameworks and optimizing data structures for performance in cybersecurity and industrial environments.

Highest-signal resume keywords

Data Engineering ExperienceArchitecture ExpertiseData ModelingSoftware Development in Rust, Go, Python, Node.jsCloud and On-Premises Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData GovernanceReal-Time Data ProcessingData Observability FrameworksData ContractsData Structures OptimizationMedium-to-Large Scale Data ProcessingIncremental ModelsDimensional ModelsGraph Structures

Soft Skills

Cross-Functional Communication

Tools & Technologies

KubernetesDockerMessage QueuesStream Processing

Industry Keywords

CybersecurityIndustrial DataThreat DetectionsThreat IntelligenceICS/OT Operations

Tech Stack

Tools & technologies

CloudCyber SecurityDockerJavaScriptKubernetesNode.jsPythonRustGo

About the role

Key responsibilities & impact

Join the Data Engineering Community specializing in data pipeline design within a matrix-style organization
Work cross-functionally to create analytics and pipelines to discover IOCs on xOT assets within networks
Lead cross-functional efforts to re-architect or modernize core data systems
Create sustainable data contracts addressing data governance requirements
Enable scalable, secure, and reliable data pipelines supporting cloud and on-premises environments
Implement real-time data processing solutions for configuration and asset communication pipelines
Partner with leadership to align team efforts with the broader company data strategy
Collaborate with product engineering teams to deliver data solutions enhancing customer-facing products
Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation

Requirements

What you’ll need

10+ years of data engineering experience
Architecture expertise creating scalable systems and 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 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 and stream processing on deployable infrastructure
Detailed domain familiarity and prior experience in at least one data-heavy field/product market segment, especially cybersecurity threat detections, threat intelligence, or ICS/OT operations
All new hires must pass a background check as a condition of employment

Benefits

Comp & perks

Competitive Equity Package
Comprehensive Benefits Plan