Principal Data Engineer
Company websitedragos.com (Dragos, opens in new tab)
Base salary From $225K
Employer-published annual base salary, USD. Advertised base range in United States
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationUnited States
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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
- 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.
Minimum Qualifications
- 10+ years of data engineering 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.
Compensation:
- Salary: $225,000
- Competitive Equity Package
- Comprehensive Benefits Plan
#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.
Source: Dragos on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($225,000) is above 84% of the 3,615 Data & ML roles nationwide listed on this site; 17 others list the same floor. Their median floor is $170,000; the middle half runs from $137,650 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingPrincipal Data EngineerFrom $225K
Principal Software Engineer - BackendFrom $225K
Backend Engineering ManagerFrom $220K
Cloud Operations Engineering ManagerFrom $220K
Director, Strategic Partnerships & Sponsorship ActivationFrom $235K
Director, Product ManagementFrom $245K
Staff SDE, NetworkingFrom $192K
Chart as a table
| Role | Published base |
|---|---|
| Principal Data Engineer (this listing) | From $225K |
| Principal Software Engineer - Backend | From $225K |
| Backend Engineering Manager | From $220K |
| Cloud Operations Engineering Manager | From $220K |
| Director, Strategic Partnerships & Sponsorship Activation | From $235K |
| Director, Product Management | From $245K |
| Staff SDE, Networking | From $192K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-07-21
Where this pay comes from
Location as the employer wrote it: United States
- Salary: $225,000
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
