Staff Data Engineer – Integrations

Dragos, Inc.

. Join the Data Engineering Community specializing in data pipeline and structure design within a matrix-style organization.

Posted 11/4/2026full-timeRemote • United StatesLead💰 $192,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in data engineering, focusing on data pipeline design, data governance, and integration with SIEM platforms. Proficient in optimizing data structures for performance and scalability while collaborating with cross-functional teams to enhance product offerings.

Highest-signal resume keywords

Data Engineering ExperienceData Integration DesignDimensional ModelingSoftware Development in Go, Python, or Node.jsData Observability Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData GovernanceData TransformationDimensional ModelingData IntegrationData Structures OptimizationMedium-to-Large Scale Data ProcessingMessage QueuingStream ProcessingCloud-Native Architectures

Tools & Technologies

SIEM PlatformsSentinelSplunkKubernetesDocker

Industry Keywords

CybersecurityIndustrial DataThreat DetectionThreat IntelligenceICS/OT Operations

Tech Stack

Tools & technologies

CloudCyber SecurityDockerJavaScriptKubernetesNode.jsPythonSplunkGo

About the role

Key responsibilities & impact

Join the Data Engineering Community specializing in data pipeline and structure design within a matrix-style organization.
Create sustainable data contracts addressing data governance requirements.
Model complex data sources into performant analytics.
Design and implement data integrations with SIEM platforms such as Sentinel and Splunk.
Create and manage a data transformation layer for the analytic process.
Collaborate with product engineering teams to deliver data solutions enhancing customer-facing products.
Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation.

Requirements

What you’ll need

7+ years of data engineering experience.
Proven experience designing and implementing data integrations across multiple platforms and systems.
Experience with 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 ICS/OT operations.
All new hires must pass a background check as a condition of employment.

Benefits

Comp & perks

Competitive Equity Package
Comprehensive Benefits Plan