Semantic Data Engineer | Digital Operations

Overview

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.

We are seeking a Semantic Data Engineer to join our Data and AI Platform team, bringing deep expertise in semantic technologies, linked data, and metadata management to help design and build intelligent data platforms that unlock the full value of our organization s information assets. In this role, you will combine strong data engineering fundamentals with specialized knowledge of semantic modeling and data interoperability to create robust, scalable solutions that enable rich data discovery, automated reasoning, and seamless integration across diverse data sources.

You will work collaboratively with data scientists, platform engineers, and domain experts to evaluate, architect, and implement the most appropriate semantic solutions while ensuring they integrate seamlessly with our broader data and AI infrastructure. The ideal candidate is a pragmatic technologist who can translate complex business requirements into elegant semantic data models and has hands-on experience building production-ready systems that make data more findable, accessible, and reusable across the enterprise.

• Design and build scalable data platform capabilities that empower domain teams through extensible frameworks and standards, enabling them to manage their data assets within a cohesive semantic architecture spanning the enterprise
• Implement robust data integration solutions and unified namespace patterns that create a digital thread connecting real-time and historical information across the entire product lifecycle—from design through manufacturing to field operations
• Build optimized data storage architectures and metadata management systems including data lakes, warehouses, knowledge graphs, and enterprise catalogs that make all organizational knowledge discoverable and actionable
• Develop semantic layers and ontologies that capture domain expertise and business logic, making implicit organizational knowledge explicit and machine-readable in formats that both humans and AI systems can leverage, while preserving traceability across the product lifecycle
• Create unified data access services that expose the digital thread to stakeholders across the organization, breaking down silos between engineering, manufacturing, operations, and business teams
• Implement data quality frameworks and lineage solutions that ensure accuracy across diverse data types while illuminating information flow through complex systems—essential for aerospace compliance, continuous improvement, and establishing the trusted data foundation required for advanced analytics and AI
• Partner with cross-functional teams to strengthen the digital thread through Data Ops practices and champion data governance standards that keep our diverse data assets trusted, accessible, and valuable
• Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback that continuously improves our data solutions and maintains high engineering standards

• Bachelor s degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience)
• 3+ years of professional experience in data engineering or related field
• Hands-on experience with semantic technologies, knowledge graphs, or linked data systems
• Experience designing and implementing ontologies, taxonomies, or semantic data models
• Proficiency with modern data engineering tools and languages (e.g., Python, SQL)
• Experience with graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and/or triple stores
• Strong understanding of data integration patterns and API design
• Excellent communication skills with ability to translate technical concepts for diverse audiences
• Experience with cloud platforms (preferably AWS)
• Experience with…