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Contract Knowledge Graph Software Engineer Jobs in North Carolina

ADDSOURCE

Knowledge Graph Engineer

Charlotte, NC · On-site

Knowledge Graph Engineer Location: Hybrid role for the US PA Area, Dallas, Charolette NC, can also be in NJ but would need to travel to PA. Looking for an experienced data engineers with ontology ...

PTR Global

Software Engineer 4

Charlotte, NC · On-site

$65 - $75/hr

Contract Job ID: 178342 Job Overview: We are seeking a highly skilled and experienced Software ... Deep knowledge of vector databases such as Pinecone, Weaviate, Milvus, and FAISS. * Proficiency in ...

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$40 - $43/hr

Hybrid (3 days remote, 2 days onsite per week) Duration: 24-Month Contract with Strong Contract-to ... Knowledge of event-driven architectures and messaging technologies such as Kafka. * Experience with ...

AssetMark, Inc.

Platform Software Engineer

Charlotte, NC · On-site

$125K - $142K/yr

Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) * hands-on ... Understanding of Microsoft graph APIs Education & Experience * Bachelor's degree in computer ...

Berriehill Research

Senior Software Engineer

Raleigh, NC · On-site

$108K - $142K/yr

... or graph data models or message queueing strategies). * Design and implement APIs (e.g., REST or ... Senior Software Engineer Position Requirements: * U.S. Citizenship * The nature of work (i.e ...

AssetMark

Platform Software Engineer

Charlotte, NC · Hybrid

$125K - $142K/yr

Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) * hands-on ... Understanding of Microsoft graph APIs Education & Experience * Bachelor's degree in computer ...

ARA

Senior Software Engineer

Raleigh, NC · On-site

$108K - $142K/yr

... or graph data models or message queueing strategies). * Design and implement APIs (e.g., REST or ... Senior Software Engineer Position Requirements: * U.S. Citizenship * The nature of work (i.e ...

Compunnel

Full Stack Engineer

Durham, NC · On-site

... software development, testing, and delivery processes. This is a one-year contract position. Key ... graph database technologies such as Neo4j and Cypher. • Practical experience with SQL across ...

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$68 - $73/hr

Software Engineer (Contract) - Full Stack Java We are not accepting C2C or 1099 arrangements. Location: Charlotte, NC About the Role We are seeking a Software Engineer (contract) to support complex ...

ARA

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

They are seeking a Senior Software Engineer to develop software that connects physics-based ... graph data models or message queueing strategies). • Design and implement APIs (e.g., REST or ...

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All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in North Carolina

Contract Knowledge Graph Software Engineer information

How does a Contract Knowledge Graph Software Engineer typically collaborate with data scientists and domain experts during a project?

As a Contract Knowledge Graph Software Engineer, you’ll often work closely with data scientists and domain experts to ensure that the knowledge graph accurately represents the underlying data and business logic. Collaboration usually involves regular meetings to clarify requirements, discuss data models, and review results. You may be tasked with translating complex domain concepts into graph structures, while also providing feedback on data quality and integration challenges. This cross-functional teamwork ensures that the final product meets both technical standards and business needs.

What is the difference between Contract Knowledge Graph Software Engineer vs Contract Data Engineer?

AspectContract Knowledge Graph Software EngineerContract Data Engineer
Required CredentialsBachelor's in CS or related, knowledge of graph databases, programming skillsBachelor's in CS, experience with data pipelines, SQL, and cloud platforms
Work EnvironmentTech companies, consulting firms, project-based rolesData-focused teams, cloud environments, analytics projects
Industry UsageAI, semantic web, knowledge managementData warehousing, big data, analytics

The Contract Knowledge Graph Software Engineer primarily focuses on developing and maintaining knowledge graphs using graph databases and semantic technologies, while the Contract Data Engineer concentrates on building data pipelines, managing large datasets, and supporting analytics. Both roles require strong programming skills and are often found in tech-driven industries, but they serve different core functions within data and knowledge management ecosystems.

What is a Contract Knowledge Graph Software Engineer?

A Contract Knowledge Graph Software Engineer is a professional who specializes in designing, developing, and maintaining knowledge graphs on a contract basis. Knowledge graphs are data structures that represent relationships between entities, enabling more effective data integration and semantic search. These engineers often work with graph databases, semantic web technologies, and ontologies to help organizations manage and leverage complex data. Their contract role means they are typically hired for specific projects or fixed periods rather than as permanent employees.

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Software Engineer, and why are they important?

To thrive as a Contract Knowledge Graph Software Engineer, you need a strong background in computer science, proficiency in graph databases (such as Neo4j or Amazon Neptune), and experience with knowledge representation and data modeling. Familiarity with programming languages like Python or Java, as well as tools for semantic web technologies (RDF, SPARQL), is typically required. Strong problem-solving skills, adaptability, and effective collaboration are essential soft skills in this role. These competencies ensure efficient design and implementation of complex knowledge graphs, enabling organizations to unlock valuable insights from their data.
What are the most commonly searched types of Knowledge Graph Software Engineer jobs in North Carolina? The most popular types of Knowledge Graph Software Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Contract Knowledge Graph Software Engineer jobs? Cities in North Carolina with the most Contract Knowledge Graph Software Engineer job openings:
Contract Knowledge Graph Software Engineer jobs near you
Knowledge Graph Engineer

Knowledge Graph Engineer

ADDSOURCE

Charlotte, NC • On-site

Other

Posted 17 days ago

Job description

Role: Knowledge Graph Engineer
Location: Hybrid role for the US PA Area, Dallas, Charolette 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.

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