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Dragos, Inc.

Staff Data Engineer

Dragos, Inc.

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

Posted 11/4/2026full-timeRemote • United StatesLead💰 $192,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in data engineering, focusing on data pipeline design, data governance, and performance optimization. Proficient in implementing data observability frameworks and collaborating with cross-functional teams to enhance data solutions.

Highest-signal resume keywords
Data Engineering ExperienceDimensional ModelingData Observability FrameworksSoftware Development in Go, Python, Node.jsKubernetes and Docker Deployment

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DesignData GovernanceData Transformation Layer ManagementIncremental Data ModelsPerformance OptimizationMedium-to-Large Scale Dataset ProcessingMessage QueuingStream Processing
Soft Skills
CollaborationCommunication
Tools & Technologies
Cloud-Native ArchitecturesKubernetesDocker
Industry Keywords
CybersecurityIndustrial DataThreat DetectionThreat IntelligenceICS/OT Operations

Tech Stack

Tools & technologies
CloudCyber SecurityDockerJavaScriptKubernetesNode.jsPythonGo

About the role

Key responsibilities & impact
  • Join the Data Engineering Community specializing in data pipeline and structure design within a matrix-style organization
  • Create sustainable data contracts that address data governance requirements
  • Model complex data sources into performant analytics
  • Create and manage a data transformation layer as 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

Requirements

What you’ll need
  • 7+ years of data engineering experience
  • Experience with 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 and 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
  • Must pass a background check as a condition of employment

Benefits

Comp & perks
  • Competitive Equity Package
  • Comprehensive Benefits Plan