Principal Data Engineer in United States Embassy at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Engineer based in the United States.

The Principal Data Engineer will play a key role in designing and scaling advanced data infrastructure that supports critical technology solutions. This position focuses on building secure, reliable, and high-performing data systems that enable teams to transform complex information into meaningful insights. You will work within a collaborative data engineering community, partnering with product, engineering, and leadership teams to shape long-term data strategies. The role requires deep technical expertise, strong architectural thinking, and the ability to solve complex data challenges across cloud and on-premise environments. This is an opportunity for an experienced data leader to influence foundational systems, establish best practices, and accelerate innovation. Your work will directly contribute to protecting essential systems and improving the resilience of critical infrastructure worldwide.

• Lead cross-functional initiatives to modernize and re-architect core data platforms, ensuring scalability, reliability, and long-term maintainability.
• Design and implement secure, efficient data pipelines that support cloud-based and on-premise environments.
• Develop sustainable data contracts and governance practices to improve data quality, consistency, and accessibility across teams.
• Build real-time data processing solutions for asset communication, configuration, and operational data workflows.
• Partner with technical leadership to align engineering efforts with broader data strategy and organizational goals.
• Collaborate with product engineering teams to create data-driven solutions that enhance customer-facing products and services.
• Establish and improve shared tooling for data observability, lineage tracking, validation, and system monitoring.
• Drive best practices across data architecture, modeling, processing, and infrastructure to support future growth.
• Mentor and influence engineering teams through technical leadership, knowledge sharing, and architectural guidance.

• 10+ years of professional experience in data engineering, with demonstrated expertise designing and scaling complex data systems.
• Strong background in data architecture, including designing efficient storage, processing frameworks, and scalable distributed systems.
• Experience with cybersecurity, threat intelligence, industrial systems, or other data-intensive technical domains is highly preferred.
• Advanced knowledge of data modeling approaches, including incremental models, dimensional models, network structures, and graph-based data representations.
• Proven experience designing data observability frameworks, robust data contracts, and optimized data structures for performance and scalability.
• Strong software development skills using languages such as Rust, Go, JVM-based languages, Python, and/or Node.js.
• Experience processing and extracting value from medium-to-large scale datasets, particularly in complex technical environments.
• Familiarity with integrating cloud and on-premise technologies, including deployments using Kubernetes and Docker.
• Experience with message queues, streaming architectures, and real-time data processing systems.
• Strong communication and collaboration skills, with the ability to work effectively across engineering, product, and leadership teams.
• Ability to operate independently in a fast-paced, mission-driven environment while influencing technical direction.

• Competitive salary of $225,000.
• Competitive equity package.
• Comprehensive benefits plan.
• Remote-first work environment with flexibility across locations.
• Opportunity to work on technology protecting critical infrastructure and essential services.
• Collaborative culture built on transparency, trust, and innovation.
• Professional growth opportunities within a global technical organization.