Principal Data Engineer

Job not on LinkedIn

🕒 November 4

🇺🇸 United States – Remote

💵 $225k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on Dragos, Inc.'s careers page ↗Dragos, Inc.'s careers page, not through a job board

First seen by Remote Rocketship November 4

Still open on Dragos, Inc.'s site. Checked 2 hours ago.

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Logo of Dragos, Inc.

Dragos, Inc.

501 - 1000 employees

Founded 2016

🏭 Manufacturing

📦 Logistics

💼 Consulting

💰 $74M Series D - Dragos on 2023-09

Manufacturing • Logistics • Consulting

Dragos, Inc. is a cybersecurity company specializing in operational technology (OT) and industrial control systems (ICS) protection for critical infrastructure. It provides an OT-native platform that delivers asset visibility, vulnerability management, threat detection, and response playbooks, backed by threat intelligence, managed services (including OT Watch and incident response), training, and compliance support. Dragos focuses on defending sectors like energy, utilities, manufacturing, transportation, and other industrial environments through a combination of software, intelligence, and expert services.

📋 Description

• 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

• 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

• Competitive Equity Package • Comprehensive Benefits Plan

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