Senior Data Engineer

About Dragos

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 and structure 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 on the Data Visualization product team building reporting engines that surface insights from our product.

Responsibilities

• Create sustainable data contracts that address data governance requirements.
• Model complex data sources into performant analytics.
• Create and manage a data transformation layer that can become a core part of our 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.

Qualifications

• 5+ years of data engineering experience.
• Experience 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, 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.

Compensation

• Salary: $165,000
• Competitive Equity Package
• Comprehensive Benefits Plan