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Knowledge Graph Engineer Jobs in Arizona (NOW HIRING)

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science ... knowledge of the following (expectation is to demonstrate these skills live during the interview)

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science ... knowledge of the following (expectation is to demonstrate these skills live during the interview)

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science ... knowledge of the following (expectation is to demonstrate these skills live during the interview)

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science ... knowledge of the following (expectation is to demonstrate these skills live during the interview)

Sr. Microsoft Security Engineer

Phoenix, AZ · On-site

$113K - $155K/yr

The role focuses on Microsoft Copilot, Copilot Studio, Microsoft Graph, and associated data ... Knowledge of Data Loss Prevention (DLP) strategies • Experience in leading the design ...

Software Engineer Sr

Phoenix, AZ · On-site +1

$121K - $160K/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 ...

Data Engineer : F2F @ Phoenix, AZ

Phoenix, AZ · On-site

$113K - $136K/yr

Another NO Sql DB is big plus - Spanner DB & Graph DB Qualifications: * Degree in Computer Science ... knowledge of the following (expectation is to demonstrate these skills live during the interview)

Software Engineer

Phoenix, AZ · On-site

$38 - $41/hr

Experience working with NoSQL databases, including columnar, graph, document, and key-value ... Strong knowledge of Hadoop ecosystem technologies, including: * Hive * HDFS * Parquet * Apache ...

You maintain and check daily operating logs for the following: air conditioning, fan units, graph ... Solid working knowledge of HVAC systems/maintenance, electrical, plumbing, energy management ...

You maintain and check daily operating logs for the following: air conditioning, fan units, graph ... Solid working knowledge of HVAC systems/maintenance, electrical, plumbing, energy management ...

You maintain and check daily operating logs for the following: air conditioning, fan units, graph ... Solid working knowledge of HVAC systems/maintenance, electrical, plumbing, energy management ...

Showing results 21-40

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Infographic showing various Knowledge Graph Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Full-Stack Python/React Engineer

Inficare Technologies

Phoenix, AZ • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role : Full-Stack Python/React Engineer
Location - Phoenix AZ
Duration: Long term
Job Description
The Capability Map portion of EP 2.0 initiative is focused on building the canonical enterprise representation of platform capabilities and enabling AI-powered knowledge discovery across the organization. The platform is evolving from a generated catalog into a live, AI-enriched capability map that supports chatbot experiences, roadmap insights, gap analysis, and graph-oriented knowledge outputs.
The product currently includes React-driven capability and domain experiences, asynchronous API-fed content refresh patterns, capability normalization and tree-building logic, filtering across nested hierarchies, implementation scoring, maturity visualization, and chatbot integration backed by the Enterprise Knowledge Base API.
We are looking for engineers who are comfortable working across frontend product engineering, Python-based data processing, hierarchical data modeling, and AI integration. The ideal candidate can translate complex business capability structures into intuitive, trustworthy, and visualization-friendly user experiences while applying strong engineering discipline to AI-assisted solutions.
Responsibilities:
  • Build and extend React experiences for capability map exploration, search, filtering, scoring, and discovery.
  • Maintain Python scripts that ingest, normalize, and transform capability taxonomy data from APIs.
  • Improve data-shaping and tree-building logic that powers hierarchical UI experiences and map navigation.
  • Integrate evolving Knowledge Base and AI services into catalog workflows and discovery experiences.
  • Validate AI-assisted code, UI generation, and data transformations with rigorous engineering standards.
  • Work within a micro-frontends module architecture in a monorepo environment and integrate with Orchestrator APIs.
  • Contribute to experimentation, testing, build reliability, deployment automation, and engineering best practices.

Qualifications:
  • Strong React 19 engineering experience with modern component patterns and asynchronous UI flows.
  • Passionate about Web Vitals, Real User monitoring, experimentation.
  • Experience building complex interactive UIs such as graph editors, workflow builders, diagramming tools, low-code tools, or canvas-heavy applications, hierarchical data structures, taxonomies.
  • Strong frontend state management skills, including React Context + reducer patterns and interaction history such as undo/redo.
  • Strong Python experience in data processing, scripting, automation, and API integration.
  • Experience building data-heavy applications with advanced search, filtering, and discovery capabilities.
  • Experience integrating REST APIs, STOMP/Websocket and backend-driven content sources.
  • Practical testing experience with Vitest, Playwright, or equivalent testing frameworks.
  • Experimented with Generative UI and MCPs
  • Strong communication skills and ability to collaborate across business and technical stakeholder groups.
  • Comfort working in evolving environments where AI capabilities and requirements continue to expand.