BETA TECHNOLOGIES · 2 days ago
Semantic Data Engineer \u007C Digital Operations
BETA Technologies is committed to revolutionizing electric aviation through innovative data solutions. The Semantic Data Engineer will leverage their expertise in semantic technologies and data engineering to design and build intelligent data platforms that enhance data discovery and integration across the organization.
AerospaceAir TransportationBatteryMachinery ManufacturingManufacturing
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
BETA TECHNOLOGIES
Beta Technologies builds electric VTOL and CTOL aircraft, charging systems, and training programs focused on operational simplicity.
H1B Sponsorship
BETA TECHNOLOGIES has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
Funding
Current Stage
Public CompanyTotal Funding
$1.98BKey Investors
GE AerospaceState of MichiganQatar Investment Authority
2025-11-04IPO
2025-09-04Series C· $467.9M
2025-08-28Grant· $2.6M
Recent News
2026-01-08
2025-12-18
Crunchbase News
2025-12-17
Company data provided by crunchbase