Principal Data Engineer

Posted 14 Hours Ago
Hiring Remotely in United States
Remote
225K-225K Annually
Expert/Leader
Security • Cybersecurity
Join a mission that can save the world.
The Role
Lead design and modernization of scalable, secure data systems and real-time pipelines for xOT cybersecurity. Create data contracts, observability, lineage, and cross-functional solutions supporting cloud and on-prem deployments, Kubernetes, and stream processing to enable threat detection and intelligence.
Summary Generated by Built In

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. 

About the Role 

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. 


Responsibilities 

As a Principal Data Engineer within the Data Engineering Community, you will: 

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. 

Partners 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. 


Minimum Qualifications 

  • 10+ years of data engineering experience 
  • Cybersecurity experience 
  • Architecture expertise creating scalable systems, 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 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 queues, 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. 

 

Even if you don’t think you meet all of these qualifications, we encourage you to apply. We are always on the lookout for good data engineers and even if this role isn’t a good fit, we may have other opportunities for you to explore. 

Compensation: 

  • Salary:  225,000.00
  • Competitive Equity Package  
  • Comprehensive Benefits Plan 

 

#LI-JF1 #LI-REMOTE   

#LI-NH1 #LI-REMOTE 


Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.

Skills Required

  • 10+ years of data engineering experience
  • Cybersecurity experience
  • Architecture expertise creating scalable data storage and processing systems
  • Expertise in data modeling (incremental models, dimensional models, network topologies, graph structures)
  • Cross-functional communication skills
  • Implementing data observability frameworks, designing robust data contracts, optimizing data structures for performance and scalability
  • Software development skills in Rust, Go, JVM-family, Python, and/or Node.js
  • Experience processing medium-to-large scale datasets, especially cybersecurity or industrial data
  • Knowledge of integrating cloud and on-premises technologies with deployments on Kubernetes and Docker
  • Experience with message queues and stream processing on deployable infrastructure
  • Domain familiarity in a data-heavy field, especially threat detection, threat intelligence, or ICS/OT operations
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The Company
HQ: Hanover, MD
295 Employees
Year Founded: 2016

What We Do

Dragos is an industrial (OT/ICS/IIoT) cybersecurity company on a mission to safeguard civilization. Our integrated software platform provides critical visibility into ICS and OT networks so that threats are identified, and can be addressed before they become significant events, our solutions are optimized for emerging applications like the Industrial Internet of Things (IIoT), enabling our clients in power and water utilities, energy, and manufacturing industries to establish a resilient and adaptable security posture.

Dragos Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
HQHanover, MD
Bristol, GB
Dubai, AE
Houston, US
Riyadh, SA
Subiaco, AU
Learn more

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