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React Query Jobs in Virginia (NOW HIRING)

Bigbear.ai

AI Application Engineer

Mclean, VA · On-site

$120 - $180/hr

You will own features end-to-end across backend APIs, database, and the modern React UI, with ... Nx monorepos, TanStack Router/Query, Tailwind CSS * MCP protocol, Ask Sage, or similar enterprise ...

New

Easy Dynamics

Software Engineer

Mclean, VA · On-site

$150K - $200K/yr

Implement and maintain database models, query logic, migrations, and data access patterns using SQLAlchemy and Alembic. * Build frontend features using React, TypeScript, Vite, Material UI, React ...

Vantor

Full Stack Developer

Mclean, VA · On-site

$113K - $150K/yr

... React or Vue). * Build and integrate backend APIs using Node.js (Nest.js) and Python-based analytics services. * Integrate external data sources, analytics libraries, and query engines to support ...

Cayuse Holdings

Senior Full Stack Developer

Chantilly, VA · On-site

$140K - $142K/yr

Strong experience developing modern, responsive web applications using React. * Proficiency in ... Proficiency in SQL and relational database development, including schema design, query optimization ...

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React Query information

What is React Query?

React Query is a powerful data-fetching and state management library for React applications. It simplifies the process of fetching, caching, synchronizing, and updating server data in your UI, eliminating the need for complex state management solutions or manual data handling. By handling background updates, caching, and stale data, React Query helps developers build fast and responsive applications with less boilerplate code. It works seamlessly with REST, GraphQL, and other data sources, making it a versatile choice for modern web development.

What are some common challenges developers face when integrating React Query into an existing React application?

One common challenge developers encounter is adapting existing state management patterns to leverage React Query’s data-fetching and caching mechanisms effectively. Transitioning from traditional global state solutions like Redux or Context to React Query often requires rethinking how server state and client state are separated and managed. Additionally, ensuring proper cache invalidation and understanding query keys can be tricky at first, but mastering these concepts is essential for optimal application performance. Collaborating with teammates to establish best practices for query structure and error handling helps streamline the adoption process.

What are the key skills and qualifications needed to thrive as a React Query developer, and why are they important?

To thrive as a React Query Developer, you need a solid understanding of JavaScript, React, and asynchronous data fetching patterns, along with experience in frontend development. Proficiency with React Query itself, familiarity with RESTful APIs, GraphQL, and tools like Axios or Fetch are typically required. Strong problem-solving skills, attention to detail, and effective communication set top candidates apart in this role. Mastery of these skills ensures efficient data management, optimal user experiences, and smooth integration of complex data-driven features in modern web applications.

What is the difference between React Query vs React Developer?

AspectReact Query
Required SkillsData fetching, caching, server state management, React hooks
Work EnvironmentFrontend development, UI/UX focus, JavaScript/React projects
Industry UsageWeb applications, SaaS platforms, e-commerce sites

React Query is a library for managing server state in React applications, focusing on data fetching and caching. A React Developer builds entire user interfaces, often using React Query as a tool within their skill set. While React Developers need broader knowledge of React, JavaScript, and UI design, React Query specialists focus on efficient data management within React apps. Both roles often overlap in web development teams, but React Query is a specific library skill, whereas React Developer is a broader role.

What are popular job titles related to React Query jobs in Virginia?

For React Query jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching React Query jobs in Virginia look for?

The top searched job categories for React Query jobs in Virginia are:

What cities in Virginia are hiring for React Query jobs?

Cities in Virginia with the most React Query job openings:

React Query jobs near you
Infographic showing various React Query job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

AI Application Engineer

Bigbear.ai

Mclean, VA • On-site

$120 - $180/hr

Other

Posted yesterday

New

Job description

Residency

All applicants must currently reside in the United States

All applicants must reside in the National Capital Region.

Overview

BigBear.ai is seeking an AI Applications Engineer. In this position, you will develop and maintain AI applicationsand a config-driven decision-support platform that combines LLM-powered chat (RAG), structured data (MCP/PostgreSQL), and dashboards to supportoperational readiness and logistics workflows. You will own features end-to-end across backend APIs, database, and the modern React UI, with ongoing support for the existing Dash/Flask application during migration.

What you will do
  • Build and maintain full-stack features: FastAPI services, PostgreSQL schema/migrations, and React/TypeScript UI in an Nx monorepo
  • Design, implement, and maintain LLM/RAG pipelinesusing LangChain(Python) or LangChain4J(Java)—retrieval, embeddings, tool/agent orchestration, and prompt workflows
  • Integrate LLM providers (e.g. OpenAI, Anthropic, Ask Sage), document ingestion, semantic search, and chat/report features
  • Work with vector stores (e.g. PostgreSQL (pgvector), Weaviate), Redis, and Keycloakauth; implement role-based access and secure API patterns
  • Connect to external systems via MCP, REST/PostgREST, and related data adapters
  • Write and maintain tests(pytest, Vitest) and participate in CI/CD (Docker, GitHub Actions)
  • Debug production issues, improve reliability/performance, and keep dependencies and security patches current
  • Use AI-assisted development tools (e.g. Cursor) effectively: prompt well, review generated code critically, and ship production-quality changes at a steady pace
What you need to have
  • 3+ years full-stack development with strong Python and React/TypeScript
  • Must be able to obtain and maintain a security clearance
  • Hands‑on LLM/RAGexperience building production features with LangChainor LangChain4J(chains, retrievers, agents/tools, embeddings, vector stores)
  • Experience building and consuming REST APIs(FastAPI or similar)
  • Solid PostgreSQLskills: schema design, SQL, migrations (pgvector a plus)
  • Comfortable with Docker, local dev environments, and basic deployment workflows
  • Strong debugging, testing, and code review habits
  • Ability to work independently across backend, frontend, database, and AI layers
  • Proven comfort using AI coding assistantsas a daily workflow—not as a substitute for understanding the codebase
What we'd like you to have
  • Dash/Plotly, Flask, or legacy-to-modern UI migration experience
  • Keycloak/OAuth, Redis sessions
  • Nx monorepos, TanStack Router/Query, Tailwind CSS
  • MCP protocol, Ask Sage, or similar enterprise LLM platforms
  • Government/defense or regulated-environment experience
Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

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