Semantic Data Engineer | Digital Operations

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.

Requirements

• 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

Benefits

• Competitive salary range ($120,000 – $160,000 a year)
• Opportunity to work on a mission-driven project
• Collaborative team environment
• Professional development opportunities