Semantic Data Engineer | Digital Operations en BETA Technologies
BETA Technologies · South Burlington, Estados Unidos De América · Hybrid
- Oficina en South Burlington
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.
How you will contribute to revolutionizing electric aviation:
- 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 DataOps 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
Minimum Qualifications:
- 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 DataOps practices and modern data platform architectures (cloud and hybrid)
- Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code
- Ability to work collaboratively in a fast-paced environment
- Exceptional troubleshooting skills with the ability to spot issues before they become problems
Above and Beyond Qualifications:
- Advanced degree in Computer Science or related field
- 5+ years of experience specifically working with semantic technologies in production environments
- Expert-level knowledge of semantic web standards (RDF, OWL, SPARQL, SHACL)
- Experience building and scaling knowledge graphs in enterprise settings
- Proficiency with additional programming languages (e.g., Scala, Java) and distributed computing frameworks (Spark, Flink)
- Hands-on experience with metadata management platforms and enterprise data catalogs
- Track record of implementing data lineage and data quality solutions at scale
- Experience working in regulated industries or with complex data governance frameworks
- Familiarity with aerospace/manufacturing data standards
- Knowledge of IoT protocols and time-series data management
- Publications, presentations, or open-source contributions in semantic technologies
- Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.
Build electric airplanes with us!
We encourage all driven candidates to apply, even if they do not meet every listed qualification.
We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.
Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.
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