Principal Data Engineer
at Dragos
United States, remote, senior, full time, USD 2,25,000+ / year, 10+ years
posted 20 Jul 2026
- JVM
- Rust
- Docker
- Go
- Node.js
- Data Modeling
- Python
- Kubernetes
- Message Queues
- Stream Processing
About the role
Posted: 2026-07-20
At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place.
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 analytics and pipelines to discover IOCs on xOT assets within networks.
What you would do
- 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.
What they are looking for
- 10+ years of data engineering experience
- Architecture expertise creating scalable systems, designing efficient data storage and processing systems.
Read from job-boards.greenhouse.io, last seen 3h ago.