Technical Lead, Principal Data Engineer
Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world!
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 across diverse product-focused initiatives.
You will serve as the Technical Lead for Vulnerability Management workflows, leading a cross-functional product team with your Product Manager partner to set technical strategy, drive architectural decisions, and ensure the team ships iteratively and reliably.
As a Technical Lead, you will stay close to the work—remaining hands-on through coding, reviews, and pairing—so that your technical judgment reflects real implementation details, and your guidance helps the team make sound, intentional design choices early.
Responsibilities:
As a Principal Data Engineer within the Data Engineering Community, you will:
• Lead cross-functional efforts to modernize and improve core data systems.
• Align priorities and sequencing with leadership and product teams.
• Set technical direction and ensure clear designs before implementation.
• Define and maintain sustainable data contracts used across teams.
• Build scalable, secure data pipelines across cloud and on-prem environments.
• Deliver real-time data processing capabilities through iterative, production-safe changes.
• Support customer-facing features by collaborating directly with product engineering teams.
• Develop shared tooling for observability, lineage, and configuration validation.
• Stay hands-on through coding and reviews to keep decisions grounded.
• Identify risks early, prevent technical issues from escalating, and maintain delivery stability.
• Communicate clearly in architecture discussions and design reviews.
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.
• Experience with medium-to-large scale datasets, particularly cybersecurity or industrial data.
• Knowledge of integrating cloud and on-prem technologies with Kubernetes and Docker.
• Experience with message queues and deployable stream processing infrastructure.
• Domain familiarity with cybersecurity threat detection, threat intelligence, or ICS/OT operations.
• Demonstrated ability to drive technical direction through clear, well-reasoned architectural decisions.
• Hands on engineering experience that grounds decisions in practical implementation details.
• Experience breaking down complex efforts into iterative, production safe deliverables and identifying risks early in the process.
Compensation:
• Salary: $225,000
• Competitive Equity Package
• Comprehensive Benefits Plan
#LI-JF1 #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.
Apply Now
Apply Now
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 across diverse product-focused initiatives.
You will serve as the Technical Lead for Vulnerability Management workflows, leading a cross-functional product team with your Product Manager partner to set technical strategy, drive architectural decisions, and ensure the team ships iteratively and reliably.
As a Technical Lead, you will stay close to the work—remaining hands-on through coding, reviews, and pairing—so that your technical judgment reflects real implementation details, and your guidance helps the team make sound, intentional design choices early.
Responsibilities:
As a Principal Data Engineer within the Data Engineering Community, you will:
• Lead cross-functional efforts to modernize and improve core data systems.
• Align priorities and sequencing with leadership and product teams.
• Set technical direction and ensure clear designs before implementation.
• Define and maintain sustainable data contracts used across teams.
• Build scalable, secure data pipelines across cloud and on-prem environments.
• Deliver real-time data processing capabilities through iterative, production-safe changes.
• Support customer-facing features by collaborating directly with product engineering teams.
• Develop shared tooling for observability, lineage, and configuration validation.
• Stay hands-on through coding and reviews to keep decisions grounded.
• Identify risks early, prevent technical issues from escalating, and maintain delivery stability.
• Communicate clearly in architecture discussions and design reviews.
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.
• Experience with medium-to-large scale datasets, particularly cybersecurity or industrial data.
• Knowledge of integrating cloud and on-prem technologies with Kubernetes and Docker.
• Experience with message queues and deployable stream processing infrastructure.
• Domain familiarity with cybersecurity threat detection, threat intelligence, or ICS/OT operations.
• Demonstrated ability to drive technical direction through clear, well-reasoned architectural decisions.
• Hands on engineering experience that grounds decisions in practical implementation details.
• Experience breaking down complex efforts into iterative, production safe deliverables and identifying risks early in the process.
Compensation:
• Salary: $225,000
• Competitive Equity Package
• Comprehensive Benefits Plan
#LI-JF1 #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.
Apply Now
Apply Now