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Mid LevelFull-timePythonJavaRustAWSData ScienceCI/CDGitAIAPI
Salary Range
$120,000 - $160,000 /year
About the Role
We are looking for a Semantic Data Engineer to join our Data and AI Platform team at BETA Technologies. This role involves 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.
Key Responsibilities
- →Design and build scalable data platform capabilities that empower domain teams through extensible frameworks and standards
- →Implement robust data integration solutions and unified namespace patterns that create a digital thread connecting real-time and historical information
- →Build optimized data storage architectures and metadata management systems including data lakes, warehouses, knowledge graphs, and enterprise catalogs
- →Develop semantic layers and ontologies that capture domain expertise and business logic
- →Create unified data access services that expose the digital thread to stakeholders across the organization
- →Implement data quality frameworks and lineage solutions that ensure accuracy across diverse data types
- →Partner with cross-functional teams to strengthen the digital thread through DataOps practices
- →Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback
Requirements
- ✓Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field
- ✓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
- ✓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
