Principal Data Engineer - Vulnerability

Dragos

16h•$225,000•Remote

About The Position

Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world! 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 vulnerability management workflows.

Requirements

10+ years of data engineering experience.
Software development skills in Rust, Go, JVM-family, Python, and/or Node.js languages.
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.
Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability.
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.
Cross-functional communication skills.

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.