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Contract Knowledge Graph Software Engineer Jobs in Boston, MA

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

NAVA Software is looking for an AI Engineer Details: AI Engineer Location: 100% Remote Duration: 6+ ... Knowledge graph implementation (Neo4j preferred). LLM optimization & improved response handling.

Recorded Future

Principal Software Engineer

Boston, MA

$152K - $228K/yr

... Graph. As a Principal Software Engineer, you will work across application code and infrastructure ... bar through knowledge sharing and best practices. What You'll Bring: * At least 5 years of ...

Recorded Future

Principal Software Engineer

Boston, MA · On-site

$152K - $228K/yr

... bar through knowledge sharing and best practices. What You'll Bring: * At least 5 years of ... Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

The GNC Software Engineer will define and influence a team within the Command and Control Software ... • Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

anduril

GNC Software Engineer

Waltham, MA

GNC Software Engineer Waltham, Massachusetts, United States Anduril Industries is a defense ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Software Engineer

Waltham, MA

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Software Engineer

Waltham, MA · On-site

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Anduril Industries

GNC Software Engineer

Waltham, MA

Proficiency in algorithm design, software development, and mathematical modeling with programming ... Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling ...

Blitzy

Principal Software Engineer

Cambridge, MA · On-site

$148K - $199K/yr

... Knowledge of Node.js and JavaScript (supporting languages). • Expertise across at least two of ... MongoDB, Cassandra, DynamoDB, or similar. • Experience with graph databases (Neo4j) for modeling ...

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All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in Boston, MA

Contract Knowledge Graph Software Engineer information

See Boston, MA salary details

$69K

$160.3K

$223.3K

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

As of Jun 10, 2026, the average yearly pay for contract knowledge graph software engineer in Boston, MA is $160,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $187,900.00 per year, depending on experience, location, and employer.

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 Boston, MA? The most popular types of Knowledge Graph Software Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Contract Knowledge Graph Software Engineer jobs? Cities near Boston, MA with the most Contract Knowledge Graph Software Engineer job openings:
Contract Knowledge Graph Software Engineer jobs near you
Infographic showing various Contract Knowledge Graph Software Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,270 per year, or $77.1 per hour.
Principal Presales Consultant - Knowledge Graph

Principal Presales Consultant - Knowledge Graph

Mendix

Boston, MA • Remote

Full-time

Posted 26 days ago

Job description

Mendix is a low-code app development platform:

First, what is low-code? Low-code is a visual approach to software development that enables you to abstract and automate every step of the application lifecycle. Gartner predicts that “by 2024, low-code application development will be responsible for more than 65% of application development activity.”
 
Mendix, the global leader in enterprise low-code, is fundamentally reinventing the way applications are built. The Mendix platform was created to promote collaboration between Business & IT teams so that an entire organization can participate in the application development process. With Mendix, thousands of forward-thinking companies around the world like Ford Auto, Zurich Insurance, Freshfields, and Red Bull, can unleash their best ideas quickly. 
  
Mendix is repeatedly ranked a Leader in analyst reports from Gartner and Forrester. In the 2021 Gartner® Magic Quadrant for Multiexperience Development Platforms, Mendix placed at the very top of the Leaders quadrant. 
 
Mendix is a Siemens Business:
 
Siemens is a Top 10 Global Software Company and a leader on Fast Company’s Most Innovative Companies in the World! With the acquisition of Mendix in 2018, Siemens Digital Industries Software is driving transformation to enhance the digital enterprise where engineering, manufacturing and electronics meet the future of innovation. Mendix employees have the opportunity to work in a hyper-growth environment with the support of Siemens’ unbeatable legacy and resources. 
 

Principal Presales Consultant – Digital, Data, Analytics & AI
 
Siemens Digital Industries Software
Siemens is redefining how enterprises turn data into action. By combining Mendix low-code applications with advanced data, analytics, and AI platforms, Siemens enables organizations to move from insights to AI-driven operational impact at scale.
With the 2025 acquisition of Altair Graph Studio, Siemens now offers a Knowledge Graph platform that integrates, models, and reasons over complex data to power Generative AI, Agentic AI, and autonomous systems.
We are seeking a Principal Presales Consultant to help customers navigate enterprise AI transformation, connecting business challenges to Siemens’ end-to-end digital, data, and AI capabilities.
 
Your Role
Lead discovery of customer AI/data ecosystems, assess AI/ML maturity, and uncover strategic opportunities
Position Siemens’ Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI
Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation
Connect Mendix applications to data and AI foundations for rapid, impactful solutions
Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap
 
What You Bring
Presales, sales engineering, solution architecture, or technical consulting experience
Strong understanding of modern data platforms, analytics, and AI/ML pipelines
Ability to influence executives and guide enterprise-scale AI adoption
Comfort across cloud, data, AI, and application architectures
 
Bonus / Nice-to-Have:
Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics
Exposure to RAG, Agentic AI, or enterprise GenAI deployments
 
Why This Role at Siemens
From Data to Action: Mendix + Graph Studio + Lakehouse = integrated path from insights to operational AI
Semantic AI Foundation: Knowledge Graphs ensure trust, context, and explainability for enterprise AI
Industrial & Enterprise Scale: Apply AI in mission-critical environments where reliability matters
Strategic Influence: Guide enterprise AI adoption at the architectural and executive level
 
Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
 
EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.
 
Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.
 
California Privacy Notice
California residents have the right to receive additional notices about their personal information. To learn more, click here.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.