Sign upLog in
See more jobs

Knowledge Graph Engineer

VeeRteq Solutions Inc.

  • Charlotte, NC
  • 30+ days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Asset Managementunmatched
    • Borland ObjectWindows Library (OWL) Programming Librariesunmatched
    • Business Skillsunmatched
    • Change Managementunmatched
    • Data Formatsunmatched
    • Data Mappingunmatched
    • Data Modelingunmatched
    • Database Administrationunmatched
    • DevOpsunmatched
    • GraphQLunmatched
    • Industry Standardsunmatched
    • Information Modelsunmatched
    • Metadata Identificationunmatched
    • Ontologyunmatched
    • Presentation/Verbal Skillsunmatched
    • Product Managementunmatched
    • RDF (Resource Description Framework)unmatched
    • REST (Representational State Transfer)unmatched
    • Source Code/Configuration Management (SCM)unmatched
    • Willing to Travelunmatched

    Description

    Role: Knowledge Graph Engineer
    Location: Hybrid role for the US PA Area, Dallas, Charlotte NC, can also be in NJ but would need to travel to PA.
    Job Description:
    Looking for an experienced data engineers with ontology skills. Ontology and Knowledge graph experience.
    Must Have
    These are the capabilities we cannot compromise on. They reflect information discipline and engineering maturity rather than tool familiarity.
    Data Engineering and Information Management Fundamentals
    Strong data engineering background with a clear understanding of how data is structured, governed, versioned, and moved across systems. Experience designing durable information models that outlive any single source or implementation.
    Required experience includes AWS data platforms, specifically S3 based data lakes and AWS managed databases. Familiarity with treating data as a long lived information asset is essential.
    Information Modeling
    Ability to organize business concepts clearly, separate meaning from storage, and map real data to conceptual models. Comfort aligning internal models to shared or external standards rather than optimizing only for local schemas.
    Abstract Thinking and Adaptability
    Comfort working in ambiguity and reasoning from first principles. Ability to learn new modeling approaches, technologies, and standards quickly, adjust assumptions, and refine models as understanding deepens.
    Open Standards Orientation
    Experience working with open standards in any technology domain, including data formats, APIs, identifiers, or metadata specifications. This may include REST or GraphQL APIs, schema standards, or industry data models. Demonstrated ability to read standards, understand intent, and apply them pragmatically even when the standard is new.
    Engineering Mindset
    Practical experience integrating conceptual models into real systems. This includes mapping models to data layers, exposing or consuming APIs such as GraphQL, supporting mock or lightweight integrations, and using version control and basic DevOps practices with discipline.
    Communication
    Ability to explain complex information and data concepts in plain language and connect technical decisions to business outcomes. Clear written and verbal communication is essential.
    Nice to Have
    These skills accelerate impact but can be learned by the right engineer.
    Ontology and Knowledge Graph Technologies
    Familiarity with ontology and semantic standards such as SKOS, RDF, OWL, and SHACL, or hands on experience with knowledge graph technologies and graph databases. Prior depth is helpful but not required if the engineer demonstrates strong information modeling instincts and learning ability.
    Asset Management Domain Knowledge
    Understanding of investment products, asset management concepts, and common industry schemas. Domain exposure helps, but strong modeling and engineering skills can bridge gaps.
    Change Management Awareness
    Sensitivity to how new standards, APIs, and information structures are adopted within organizations. Appreciation for governance, ownership, and the realities of evolving legacy practices.

    Numbers & Facts

    LocationCharlotte, NC

    Resume Resources

    Free Resume TemplatesFree Resume Builder

    Similar Jobs

    See more jobs