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Contract Knowledge Graph Software Engineer Jobs in Los Angeles, CA

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers ... We are looking for a Full Stack Software Engineer to own and scale our online data systems while ...

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers ... We are looking for a Full Stack Software Engineer to own and scale our online data systems while ...

TEKsystems c/o Allegis Group

Product Software Engineer

Burbank, CA · On-site

$80 - $81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge graph or graph database experience (Neo4j, Neptune, Stardog, etc.) * Cloud experience ... Job Type & Location This is a Contract position based out of Burbank, CA. Pay and Benefits The pay ...

TEKsystems

Product Software Engineer

Burbank, CA

$80 - $81/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Knowledge graph or graph database experience (Neo4j, Neptune, Stardog, etc.) * Cloud experience ... Job Type & Location This is a Contract position based out of Burbank, CA. Pay and Benefits The pay ...

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site +1

$144K - $194K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph ...

CoreLogic

Principal Software Engineer (Python)

Irvine, CA · On-site

$144K - $194K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph ...

New

Cotality

Principal Software Engineer (Python)

Irvine, CA · On-site

$144K - $194K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Semantic & Graph Expertise: Deep understanding of Knowledge Representation, Ontologies, and Graph ...

CB Smart Recruit

Senior AI/ML Engineer

Los Angeles, CA · On-site

$180K - $350K/yr

These diverse data sources are fused into a live knowledge graph that generates calibrated ... Partner with software engineers, platform engineers, and technical leadership to integrate machine ...

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Showing results 1-20

All JobsContract Knowledge Graph Software Engineer JobsContract Knowledge Graph Software Engineer Jobs in Los Angeles, CA

Contract Knowledge Graph Software Engineer information

See Los Angeles, CA salary details

$68.4K

$159K

$221.4K

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

As of Aug 17, 2026, the average yearly pay for contract knowledge graph software engineer in Los Angeles, CA is $158,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,300.00 and $186,400.00 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 are the most commonly searched types of Knowledge Graph Software Engineer jobs in Los Angeles, CA?

The most popular types of Knowledge Graph Software Engineer jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Contract Knowledge Graph Software Engineer jobs?

Cities near Los Angeles, CA with the most Contract Knowledge Graph Software Engineer job openings:

Contract Knowledge Graph Software Engineer jobs near you

Lead Software Engineer (Data Platforms)

Prosum Inc.

Santa Monica, CA • On-site

$80 - $93/hr

Contractor

Re-posted 6 days ago

Job description

Job Description
Lead Software Engineer - Data Platform & AI
Pay Range: $80/hour to $93/hour
Overview
We are seeking an experienced Lead Software Engineer to join a high-impact Data Foundation Platform team supporting large-scale data engineering and analytics initiatives. This role focuses on building cloud-based tools, services, and platforms used by data engineers, analysts, and data scientists to process and manage large-scale streaming and web data environments.
The ideal candidate brings deep expertise in software engineering, data infrastructure, metadata governance, and AI-enabled platform development. This position requires strong technical leadership, hands-on engineering capabilities, and experience designing scalable solutions end-to-end.
Key Responsibilities
  • Design, develop, and maintain scalable full-stack data infrastructure and platform services.
  • Build and enhance internal tools supporting metadata management, governance, lifecycle management, and cost management.
  • Architect reusable APIs, shared libraries, and UI component frameworks across data platform ecosystems.
  • Develop user-facing applications and dashboards using modern frontend technologies.
  • Implement cloud-native solutions and automated deployment pipelines within AWS or comparable cloud environments.
  • Collaborate with cross-functional teams including product managers, architects, data scientists, analysts, and engineering teams.
  • Drive technical strategy, system design decisions, and platform scalability initiatives.
  • Mentor engineers through code reviews, architecture reviews, and technical leadership.
  • Support operational excellence, platform reliability, and agile development processes.
  • Contribute to AI-enabled platform capabilities using technologies such as Bedrock, Cortex AI, or similar solutions.
Required Qualifications
  • 12+ years of professional software engineering experience delivering production-scale systems.
  • Strong experience in both software engineering and data engineering environments.
  • Expertise with metadata management and data governance systems.
  • Hands-on experience with AI tools and AI-powered engineering platforms such as Bedrock, Cortex AI, or related technologies.
  • Strong programming skills in at least one core language such as Python, TypeScript, or Java.
  • Experience building and operating distributed systems at scale.
  • Experience with AWS cloud services, CI/CD pipelines, infrastructure-as-code, and deployment automation.
  • Ability to design and implement features end-to-end across backend, frontend, and infrastructure layers.
  • Strong leadership, communication, and collaboration skills.
Preferred Qualifications
  • Experience with internet-scale platforms and high-throughput distributed systems.
  • Hands-on experience with technologies such as:
    • Airflow
    • Spark
    • Databricks
    • Snowflake
    • Delta Lake
    • OpenSearch
    • Neptune
    • GraphQL
    • React
    • TypeScript
  • Experience with data catalog and governance platforms such as Acryl DataHub or Alation.
  • Familiarity with PII governance, compliance, and data lifecycle management.
  • Experience with knowledge graph systems and graph-based architectures.

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