Staff Data Engineer - Remote

Overview

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!

In Short

• Assemble medium-scale, complex data sets that meet business requirements for our SaaS-oriented platforms purpose built for Security Operations teams.
• Design and implement cloud-native data pipelines and architectures on AWS.
• Build data infrastructure for extraction, transformation, and loading from industrial control system data sources.
• Develop data integration capabilities that connect our SaaS platform with customer environments and third-party security tools.
• Create data tools and APIs that enable product features and analytics capabilities.
• Develop and maintain Go, JVM-family, Python, and/or Node.js services for cloud-based threat intelligence products.
• Implement real-time data processing solutions for threat detection and analysis capabilities.
• Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products.
• Collaborate with cross-functional teams to deliver high-quality, reliable data pipelines.

Requirements

• 7+ years of engineering experience with 3-5 years building and optimizing medium-to-large scale data pipelines and cloud-based data sets.
• Strong experience with AWS cloud services for data processing, storage, and analytics.
• 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.
• Experience integrating cloud and on-premises technologies in industrial environments, particularly deployed on k8s and docker based infrastructure.
• Experience with message queuing, stream processing, and scalable cloud data stores for medium-to-large scale workloads.
• 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.

Benefits

• Salary: $192,000
• Competitive Equity Package
• Comprehensive Benefits Plan