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Internship Graphql Jobs in Michigan (NOW HIRING)

Part‑time, volunteer, or internship programming experience * Experience in web application ... Experience with HTTP API design (JSON‑RPC, REST, GraphQL) * Experience with unit testing and ...

... internships, or personal projects welcome) · Familiarity with full-stack development using React ... GraphQL or Retool · Basic knowledge of enterprise identity protocols (e.g., SAML, OAuth2)

Internship Graphql information

What is an internship in GraphQL?

An Internship in GraphQL is a temporary position, often for students or recent graduates, where individuals get hands-on experience working with GraphQL, a query language for APIs. During the internship, participants typically learn how to design, implement, and test GraphQL APIs, as well as integrate them with frontend or backend systems. The role helps interns develop technical skills in software development, teamwork, and problem-solving, often under the guidance of experienced engineers. Interns may also contribute to real-world projects, attend training sessions, and receive mentorship. This experience can be a valuable stepping stone toward a career in software engineering or API development.

What types of projects and responsibilities can I expect during a GraphQL internship?

During a GraphQL internship, you will likely work on designing, building, and optimizing APIs using the GraphQL query language. Common responsibilities include collaborating with backend and frontend teams to define data requirements, writing schema definitions, and implementing resolvers. Interns often assist with debugging, testing, and documenting APIs, while also learning best practices for security and performance. This role is a great way to gain hands-on experience in modern API development and work in cross-functional teams that value communication and innovation.

What are the key skills and qualifications needed to thrive as a GraphQL intern, and why are they important?

To thrive as a GraphQL Intern, you need foundational knowledge of JavaScript, APIs, and familiarity with GraphQL concepts, often supported by coursework or prior project experience. Experience with tools such as Apollo Client/Server, GraphQL Playground, and version control systems like Git is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with development teams and learn quickly. These skills are crucial for building efficient, scalable APIs and contributing meaningfully to real-world software projects.

What is the difference between Internship Graphql vs Internship REST API?

AspectInternship GraphqlInternship REST API
Required CredentialsBasic understanding of GraphQL, API conceptsBasic understanding of REST, API concepts
Work EnvironmentDeveloping and testing API queries, working with data schemasBuilding and maintaining REST endpoints, data retrieval
Employer & Industry UsageTech companies, startups, API development teamsWeb development, backend services, enterprise applications
Search & Comparison IntentInternship Graphql vs Internship REST APIInternship Graphql vs Internship REST API

Internship Graphql and Internship REST API roles both involve working with APIs, but they focus on different technologies. GraphQL internships emphasize flexible data querying and schema design, while REST API internships focus on creating and maintaining standard REST endpoints. Both roles are common in tech companies and provide valuable experience in backend development.

What are the most commonly searched types of Graphql jobs in Michigan?

The most popular types of Graphql jobs in Michigan are:

What cities in Michigan are hiring for Internship Graphql jobs?

Cities in Michigan with the most Internship Graphql job openings:

Software Engineer Internship

Lansing, MI • On-site

Temporary

Posted 7 days ago


Job description

We are looking for software engineer intern to join our internal platform team. You'll work across our full stack, GraphQL API (NestJS), React frontend (Next.js), and PostgreSQL database, building tools that advisors use to make real investment decisions. Scope scales with experience: early-career developers ship well-scoped features with mentorship, while senior developers drive architecture decisions and mentor others.
Responsibilities
  • Design, build, and ship features end-to-end across our internal platform.
  • Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ, FMP, Box, and Redtail, including authentication, error handling, and data parsing.
  • Develop analytics and decision tools, including portfolio metrics, earnings tracking, and risk analysis used by advisors for real investment decisions.
  • Build AI-powered features, including document search, chat over internal knowledge, and workflow automation.
  • Participate in code review, testing, and the ongoing architectural restructure of the platform.

Requirements
  • Experience building and shipping real software in TypeScript or JavaScript, whether professional, academic, or personal projects.
  • Full-stack reasoning: understanding how a UI change relates to an API, and how an API relates to its data.
  • Clear, readable code and constructive participation in code review.
  • Clear communication with non-engineers; our users are financial advisors.
  • Curiosity about the financial domain, no finance background required.
  • Comfort using LLM coding assistance such as Claude Code or OpenAI models.
Nice to Have
  • Experience with Next.js, React, NestJS, GraphQL, PostgreSQL, TypeORM, Nx, or Bun.
  • Third-party API integration experience.
  • Fintech exposure.
  • Python experience.
  • Experience building LLM-powered features.

Benefits
  • Competitive hourly pay.
  • Flexible scheduling around class commitments.
  • Potential path to future opportunities with the firm.
  • Direct mentorship from experienced engineers, with scope that grows as you do.
  • Hands-on ownership of real features used by advisors for real investment decisions.
  • Exposure to modern tooling, including AI-powered development workflows and LLM coding assistants.
  • Small, collaborative engineering team with direct input into architecture and product direction.