Principal Data Engineer

About the Role 

You will be joining the Data Engineering Community that specializes in data pipeline 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. You will be working cross-functionally to create analytics and pipelines to discover IOCs on xOT assets within networks. 

Responsibilities 

As a Principal Data Engineer within the Data Engineering Community, you will: 

Lead cross-functional efforts to re-architect or modernize core data systems. 

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. 

Partners with leadership to align team efforts to broaden company data strategy. 

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 

• 10+ years of data engineering experience 

• Cybersecurity experience 

• Architecture expertise creating scalable systems, designing efficient data storage and processing systems. 

• Expertise in data modeling including incremental models, dimensional models, network topologies and graph structures. 

• Cross-functional communication skills. 

• Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability. 

• Software development skills in Rust, Go, JVM-family, Python, and/or Node.js languages. 

• 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 queues, 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. 

 

Even if you don’t think you meet all of these qualifications, we encourage you to apply. We are always on the lookout for good data engineers and even if this role isn’t a good fit, we may have other opportunities for you to explore. 

Compensation: 

• Salary:  225,000.00

• Competitive Equity Package  

• Comprehensive Benefits Plan 

 

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