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FileImport - Dragos, Inc.
Staff Data Engineer
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,698 / year median in the U.S.
+11% projected growth
Job Description
Staff Data Engineer
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 areimmediatelyat risk.
We are the global leader inxOTcybersecurity, combining technology, threat intelligence, and expert services. The people chose this work because they understandwhat isat 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 RoleYou will be joining the Data Engineering Communitythat specializes indata pipeline and structure design withina 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.
ResponsibilitiesAs aStaffData Engineer within the Data Engineering Community, you will:
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 Qualifications7+years ofdataengineering experience.
Cybersecurity experienceExperience dimensional modeling and working with incremental data models.
Skilled in implementing data observability frameworks, designing robust data contracts, andoptimizingdata 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 ofintegrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker.
Experience with messagequeuing,streamprocessingon 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/OToperations.
Even if youdon'tthink you meetall ofthese qualifications, we encourage you to apply.
We are always on the lookout for gooddataengineers and even if this roleisn'ta good fit, we may have other opportunities for you to explore.
We are the global leader inxOTcybersecurity, combining technology, threat intelligence, and expert services. The people chose this work because they understandwhat isat 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 RoleYou will be joining the Data Engineering Communitythat specializes indata pipeline and structure design withina 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.
ResponsibilitiesAs aStaffData Engineer within the Data Engineering Community, you will:
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 Qualifications7+years ofdataengineering experience.
Cybersecurity experienceExperience dimensional modeling and working with incremental data models.
Skilled in implementing data observability frameworks, designing robust data contracts, andoptimizingdata 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 ofintegrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker.
Experience with messagequeuing,streamprocessingon 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/OToperations.
Even if youdon'tthink you meetall ofthese qualifications, we encourage you to apply.
We are always on the lookout for gooddataengineers and even if this roleisn'ta good fit, we may have other opportunities for you to explore.