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

📋 Description

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

• Develop sustainable data contracts that fulfill data governance standards.

• Transform complex data sources into high-performing analytics.

• Establish and oversee a data transformation layer as a fundamental aspect of the analytics process.

• Collaborate with product engineering teams to implement data solutions that improve customer-facing products.

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

⛳️ Requirements

• Over 5 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 optimizing data structures for both performance and scalability.

• Programming skills in Go, JVM-family languages, Python, and/or Node.js, particularly in cloud-native architectures.

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

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

• Experience with message queuing and stream processing on deployable infrastructure.

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

• A background check must be passed as a prerequisite for employment.