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Contract Knowledge Graph Software Engineer Jobs in Richmond, VA

... Contract-To-Hire) Reach me on himanshu.prajapat(at)collabera.com or give me a call on 973-606-3290 ... Strong knowledge of OOD/OOP software design patterns and principles Strong knowledge of Java 6+ and ...

This is a contract-to-hire position. Candidates must be eligible, open & willing to full-time ... Strong knowledge of OOD/OOP software design patterns and principles Strong knowledge of Java 6+ and ...

Software Engineer

Richmond, VA · On-site

$80 - $120/hr

Your Role As a Software Engineer / Web UI Developer, you will be a hands‑on contributor ... Working knowledge of cloud application configuration, environment separation, and runtime behavior

Lead Software Engineer (Java)

Richmond, VA · On-site +1

$120K - $140K/yr

Software Engineer (Full Stack) Our client, a consulting company, is seeking a Full Stack Software ... This is a contract to hire position. This is a REMOTE role. Snapshot of the client: * The company ...

Sr. Software Engineer

Glen Allen, VA · On-site

$125K - $135K/yr

Senior Software Engineer Location: On-site in Glen Allen, VA As a Senior Software Engineer at ... Strong knowledge of software design principles, data structures, and algorithms. * Experience with ...

Strong database knowledge of SQL constructs, and data modeling Qualifications * 7+ years of ... Engineering or Software Engineering Benefits * Competitive compensation * Comprehensive health ...

We are currently looking for a mid-level, back end Software Engineer (C#, .Net, SQL server). As the ... Broad and extensive knowledge of the software development process and its technologies * Data ...

Contract Duration: August 24, 2026 - November 24, 2026 Schedule: 1st Shift, 7:30 AM - 4:00 PM Job Summary HII is seeking an experienced IT Software Engineer 3 to design, develop, test, and maintain ...

Software Engineer I

Richmond, VA · Hybrid

$74K - $93K/yr

Knowledge of software debugging, testing methodologies, and collaborative development environments. WE VALUE * Advanced degrees in Computer Science, Software Engineering, or related fields.

Software Engineer I

Richmond, VA · Hybrid

$74K - $93K/yr

Knowledge of software debugging, testing methodologies, and collaborative development environments. WE VALUE * Advanced degrees in Computer Science, Software Engineering, or related fields.

Software Engineer I

Richmond, VA · Hybrid

$74K - $93K/yr

Knowledge of software debugging, testing methodologies, and collaborative development environments. WE VALUE * Advanced degrees in Computer Science, Software Engineering, or related fields.

Software Engineer I

Richmond, VA · Hybrid

$74K - $93K/yr

Knowledge of software debugging, testing methodologies, and collaborative development environments. WE VALUE * Advanced degrees in Computer Science, Software Engineering, or related fields.

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Contract Knowledge Graph Software Engineer information

See Richmond, VA salary details

$62.8K

$146K

$203.4K

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

As of Aug 25, 2026, the average yearly pay for contract knowledge graph software engineer in Richmond, VA is $145,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,200.00 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 Richmond, VA are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Richmond, VA with the most Contract Knowledge Graph Software Engineer job openings:

Lead Software Engineer (Python, Vector Databases, AWS)

Richmond, VA • On-site


Capital One
Funds, Trusts and Financial Programs • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 172 rated banks

Good employer

Recommended by students

Paid breaks


Full-time

Posted 18 days ago


Job description

Lead Software Engineer (Python, Vector Databases, AWS)

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

As a Lead Software Engineer, you will build the data infrastructure layer that powers Capital One's AI-driven content management capabilities. You will own the Content Hub - our vector and graph database platform for semantic content retrieval - including the embedding pipelines, knowledge graph schema, and indexing infrastructure that enable AI models to retrieve the right content, rules, and context at generation time.

What You'll Do:

  • Design and build the Content Hub - vector database and graph database infrastructure for semantic retrieval. Own the indexing pipeline, query layer, and integration with AI content generation platform.

  • Build and operate embedding pipelines, generate embeddings, manage chunking strategies, and handle index refresh as content evolves.

  • Own embedding model selection and refresh strategy - evaluate tradeoffs between embedding model quality and operational cost; design refresh pipelines that keep the index current as the underlying content corpora changes.

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in software engineering (Internship experience does not apply)

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • Experience with data infrastructure, search systems, or AI/ML engineering

  • Experience working with vector databases or embedding-based search

  • Experience working with data pipeline engineering - ingestion, transformation, chunking, and indexing at scale; familiarity with batch and streaming pipeline patterns

  • Experience with Python for data pipeline and backend service development

  • Experience with RAG architecture

  • 2+ years of experience in Agile practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Software Engineer


Richmond, VA: $179,400 - $204,700 for Lead Software Engineer










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).



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