Knowledge Graph Engineer II (54542)
$76,000–$100,000 year
RemoteUnited States
Job Summary
Design and implement ontological frameworks for water and geospatial data integration, architect large language model interfaces for natural language querying, and optimize spatial query performance across heterogeneous water datasets. Collaborate with federal partners to integrate diverse water datasets into the Geoconnex reference feature collection and develop automated data ingestion pipelines for streamgages and reservoirs. Build reverse geocoder services, embed spatial search capabilities, and ensure system reliability against service level agreements. Mentor junior developers and coordinate technical activities across the CGS community while representing technical capabilities in stakeholder meetings. Ability to travel on-site to meet with clients. Fully remote role.
Required Qualifications
- Master's degree in Computer Science, Geoinformatics, or related field, or equivalent professional experience
- Minimum 5 years of experience in semantic web technologies, knowledge graph development, and ontology engineering
- Proficiency in RDF, SKOS, SPARQL, OWL, SHACL, and semantic web frameworks
- Experience creating or extending ontologies and managing their lifecycle for domain specific usage across clients
- Strong background in geospatial data processing, spatial databases, and GIS technologies
- Experience with large language model integration, vector databases, and AI-driven query interfaces
- Programming proficiency in Python
- Understanding of DevOps practices and cloud infrastructure
- Willingness to adopt new frameworks, tools, and approaches as the semantic web landscape evolves
- Proficiency in basic office software (e.g., Microsoft Office)
- Demonstrated ability to take ownership of projects and communicate progress proactively in a fully remote environment
- Strong verbal and written communication skills, with experience collaborating effectively across distributed teams
- Ability to travel on-site to meet with clients
Desired Qualifications
- Familiarity with water domain ontologies and hydrologic data standards (HY Features, WaterML, ODM2, etc.)
- Familiarity with entity resolution concepts and tools
- Familiarity with water data systems, monitoring networks, and federal water data standards
- Experience with USGS data systems, National Hydrography Dataset, and federal water data workflows
- Knowledge of state and local water management practices and regulatory frameworks
- Familiarity with IoW Coalition initiatives and community governance models
- Experience working with CUAHSI, or other academic water and geospatial data interoperability initiatives
- Background in hydrologic modeling, water resource management, or environmental data systems
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