Principal Data Engineer - Cybersecurity Pipelines (Remote)

Dragos, Inc.; United States; On-site; USD 191,000 - 260,000; Full time

Benefits offered by this job

Competitive equity package

Comprehensive benefits plan

Job summary

Dragos, Inc. is seeking a Principal Data Engineer to lead data pipeline modernization and cross-functional data initiatives. You will design scalable architectures, real-time processing, and data contracts that align with our cybersecurity-focused product strategy.

You will collaborate with product teams, improve observability, and drive data strategy across cloud and on-prem deployments. A strong background in data engineering and cybersecurity is essential for this role.

Qualifications

• 10+ years of data engineering experience across complex data pipelines.
• Cybersecurity domain experience is required or highly preferred.
• Experience architecting scalable data systems and storage/processing layers.

Responsibilities

• Lead modernization of core data systems and data contracts.
• Build scalable, secure data pipelines for cloud and on-prem environments.
• Develop real-time data processing for configuration and asset pipelines.
• Collaborate with leadership to align data strategy across teams.
• Partner with product engineering to deliver data solutions for customers.
• Contribute to tooling for observability and lineage tracking.

Skills

Data engineering

Cybersecurity

Architectural design

Data modeling

Cross-functional collaboration

Observability

Data contracts

Data structures optimization

Programming languages

Cloud/on-prem deployments

Kubernetes & Docker

Message queues & streaming

Domain knowledge in cybersecurity/ICS/

Tools

Docker

Kubernetes

Job description

Dragos, Inc. is seeking a Principal Data Engineer to lead data pipeline modernization and cross-functional data initiatives. You will design scalable architectures, real-time processing, and data contracts that align with our cybersecurity-focused product strategy.

You will collaborate with product teams, improve observability, and drive data strategy across cloud and on-prem deployments. A strong background in data engineering and cybersecurity is essential for this role.