Staff Data Engineer

Job not on LinkedIn

🕒 November 4

🇺🇸 United States – Remote

💵 $192k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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• Open for 11 days.
• Jobs at this company usually fill in 21 days.

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Dragos, Inc.

WebsiteLinkedInAll Job Openings

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 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

• 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

• Competitive Equity Package • Comprehensive Benefits Plan

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