Staff Data Engineer

7+ years of data engineering experience. 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.

Create sustainable data contracts that address data governance requirements. Enable scalable, secure, and reliable data pipelines that support both cloud and on-prem environments. Implement real-time data processing solutions for configuration and asset communication pipelines. 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.