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Contract Knowledge Graph Software Engineer Jobs in Pennsylvania

Lead Knowledge Graph Engineer

Collegeville, PA · On-site

$101K - $133K/yr

We are seeking a Lead Knowledge Graph Engineer for a high-priority, 12+ month contract on-site in Upper Providence, PA (12 days/month hybrid schedule). In this role, you will act as the technical ...

Role Summary As a Knowledge Engineer, you'll help build the foundation that enables data to be ... Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that ...

Software Engineer Sr

Pittsburgh, PA · On-site +1

$118K - $156K/yr

... Graph where applicable. Create and enhance Power Apps, Power Automate flows, and other Power ... Working knowledge of Power Platform pipelines and environment promotion practices. Proficiency with ...

Neo 4J Software Development Lead

Pittsburgh, PA · On-site

$112K - $141K/yr

Software Development/ Engineering Main location: United States, Pennsylvania, Pittsburgh Position ... At least 8+ years of overall experience in designing and developing Neo4j-based Knowledge Graph and ...

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Contract * Knowledge of MLOps platforms * Good experience with Sage Maker * Proven 8+ years of ... An in-depth understanding of contemporary software engineering techniques. * Docker, Kubernetes ...

Senior Software Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... foundation using advanced math, computer science, graph theory, and machine learning ... Preferred : • Domain knowledge in analog circuits design and layout, and VLSI design flow is ...

... across engineering teams. . Drive adoption of Graph Data Science (GDS) capabilities for ... At least 8+ years of overall experience in designing and developing Neo4j-based Knowledge Graph and ...

Senior Software Engineer

Wayne, PA · On-site

$111K - $146K/yr

... Microsoft Graph). Cloud Experience * Hands‑on experience building and running production ... Working knowledge of unit and integration testing in .NET (xUnit, NUnit, Moq, or equivalents)

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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 Pennsylvania? The most popular types of Knowledge Graph Software Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Contract Knowledge Graph Software Engineer jobs? Cities in Pennsylvania with the most Contract Knowledge Graph Software Engineer job openings:
Infographic showing various Contract Knowledge Graph Software Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Hybrid job distribution.

Lead Knowledge Graph Engineer

Trust IT LLC

Collegeville, PA • On-site

$101K - $133K/yr

Other

Posted 5 days ago


Job description

We are seeking a Lead Knowledge Graph Engineer for a high-priority, 12+ month contract on-site in Upper Providence, PA (12 days/month hybrid schedule). In this role, you will act as the technical visionary bridging complex biomedical data (genetics, disease associations, chemistry structures) with cutting-edge actionable AI applications. Role At-A-Glance: Location: Upper Providence, PA (Onsite 12 days per month) Duration: 12+ Months Contract Experience Required: 10+ years of engineering experience with Graph Databases, Triple Stores, or Labeled Property Graphs (LPG).