Semantic Data Engineer | Digital Operations
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Job Location:
South Burlington, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
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 organizations information 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 lifecyclefrom 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 systemsessential 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:
- Bachelors 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
$120000 - $160000 a year
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 were 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
BETA Technologies is an electric aerospace company developing vertical take-off and landing (eVTOL) aircraft and supporting charging infrastructure that enables greener, safer and more efficient transportation.
