Staff Data Engineer - Integrations

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.
• Minimum Qualifications
• 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.