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Contract Knowledge Graph Software Engineer Jobs in Springfield, MA

Sr Software Engineer

Hartford, CT · On-site

$139K - $230K/yr

Travelers is seeking a Senior Software Engineer to join our organization as we grow and transform ... Apply knowledge of current industry trends and techniques to formulate solutions within the context ...

Travelers is seeking a Senior Software Engineer to join our organization as we grow and transform ... Apply knowledge of current industry trends and techniques to formulate solutions within the context ...

Job Title: Mgr, Software Engineering Job Code: 40519 Job Location: Northampton, MA Are you ready to ... Requires broad management and leadership knowledge to lead cross-department project teams or manage ...

Software Engineer II

Hartford, CT · On-site

$120K - $198K/yr

Contribute to technical documentation and knowledge sharing within the team * Stay current with ... software engineering experience. What Is in It for You? * Health Insurance :Employees and their ...

Showing results 21-40

Contract Knowledge Graph Software Engineer information

See Springfield, MA salary details

$63.3K

$147K

$204.8K

How much do contract knowledge graph software engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract knowledge graph software engineer in Springfield, MA is $147,007.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $172,400.00 per year, depending on experience, location, and employer.

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?

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.

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 cities near Springfield, MA are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Springfield, MA with the most Contract Knowledge Graph Software Engineer job openings:

Embedded Software Engineer - Connectivity 10+ Years W2 Hiring!

PDDN INC.

Chicopee, MA • On-site

$130K - $172K/yr

Contractor

Posted 5 days ago


Job description

Company Description
Job Description
Role: Embedded Software Engineer - Connectivity
Location: Andover, MA (Onsite)
Start Date: Immediate availability
Job Type: Contract (C2C/W2)
Interview Mode: Phone/Video
We are seeking an Embedded Software Engineer to build and sustain the connectivity layer between embedded medical devices and cloud platforms. This role ensures reliable data exchange, remote monitoring, and command/control capabilities in a mission-critical, regulated environment.
Key Responsibilities:
  • Design and develop device-to-cloud connectivity modules
  • Implement and maintain MQTT-based communication flows
  • Develop embedded software in C++ on RTOS platforms (QNX or similar)
  • Integrate and optimize networking stacks (TCP/IP, sockets, secure protocols)
  • Ensure robustness, fault tolerance, and predictable real-time behavior
  • Collaborate with cloud, firmware, and QA/RA teams
  • Debug connectivity issues across device and cloud layers
  • Contribute to design documentation and compliance artifacts

Required Skills:
  • Embedded Software Development (C++, RTOS/QNX)
  • Device-to-Cloud Connectivity
  • MQTT Communication
  • Networking (TCP/IP, sockets, secure protocols)
  • Real-time Systems & Fault Tolerance
  • Debugging & Troubleshooting Connectivity Issues

Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.