Staff Data Engineer - Integrations

Dragos

4d•Remote

About The Position

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.

Requirements

7+ years of data engineering experience.
Cybersecurity 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.

Responsibilities

Create sustainable data contracts that address 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 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.