This is a fully remote position, open to applicants in United States.

📋 Description

• Become a member of the Data Engineering Community, focusing on the design of data pipelines and structures within a matrix-oriented organization.

• Develop sustainable data contracts that meet data governance needs.

• Transform intricate data sources into efficient analytics.

• Build and oversee a data transformation layer as an essential component of the analytic workflow.

• Work alongside product engineering teams to provide data solutions that improve customer-facing products.

• Create and contribute to shared tools for observability, lineage tracking, and configuration validation.

⛳️ Requirements

• At least 7 years of experience in data engineering.

• Proficient in dimensional modeling and working with incremental data models.

• Expertise in implementing data observability frameworks, designing effective data contracts, and enhancing data structures for performance and scalability.

• Software development experience in Go, JVM-family, Python, and/or Node.js within cloud-native architectures.

• Experience in manipulating, processing, and deriving insights from medium-to-large scale datasets, particularly in cybersecurity or industrial data.

• Familiarity with integrating cloud and on-premises technologies in industrial settings, including deployments on Kubernetes and Docker.

• Proficient in message queuing and stream processing on deployable infrastructures.

• In-depth domain knowledge and prior experience in at least one data-intensive field or market segment, especially if knowledgeable in cybersecurity threat detection, threat intelligence, or ICS/OT operations.

• Must successfully pass a background check as a requirement for employment.