Staff Data Engineer

AllegisCyber Capital; United States; On-site; USD 163,200 - 220,800; Full time

Benefits offered by this job

Competitive Equity Package

Comprehensive Benefits Plan

Job summary

Dragos is seeking a data engineer to help shape scalable data contracts and analytics for critical cybersecurity products. You will model complex data sources, build a robust transformation layer, and collaborate with product engineering teams across a remote-first, globally distributed company.

The role emphasizes data observability, performance-optimized structures, and cloud-native deployments on Kubernetes and Docker, with experience in cybersecurity data being a plus.

Qualifications

• 7+ years of data engineering experience.
• Cybersecurity experience.
• Experience with dimensional modeling and incremental data models.
• Experience implementing data observability frameworks and robust data contracts.
• Languages: Go, JVM, Python or Node.js with cloud-native architectures.
• Experience with medium-to-large datasets; cybersecurity/industrial data preferred.
• Knowledge of cloud & on-premises integration in industrial environments; deployments on Kubernetes & Docker.
• Experience with message queuing and stream processing.

Responsibilities

• Create sustainable data contracts addressing data governance needs.
• Model complex data sources into performant analytics.
• Develop a data transformation layer as a core analytics component.
• Collaborate with product engineering to deliver data solutions for customers.
• Establish and contribute to tooling for observability, lineage tracking, and configuration validation.

Skills

Data engineering experience

Cybersecurity experience

Dimensional data modeling

Data observability

Data contracts

Go / JVM / Python / Node.js

Cloud-native architecture

Kubernetes & Docker

Message queuing / streaming

Cybersecurity data domain

Tools

Kubernetes

Docker

Job description

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 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.

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.

Minimum Qualifications

• 7+ years of data engineering experience.
• Cybersecurity 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 ICSS/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: $192,000.00
• Competitive Equity Package
• Comprehensive Benefits Plan

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.