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Fastapi Developer Jobs in Missouri (NOW HIRING)

$88.40K - $106.10K/yr

Proficiency with frameworks such as FastAPI, Django REST Framework, or Flask. * Solid understanding ... Exposure to cutting-edge data engineering and scientific data challenges. * Collaborative ...

... DevOps practices to accelerate delivery. The engineer will work with an existing code base ... Experience working with FastAPI/Flask Our team is always hungry for more - more knowledge, more ...

AI Engineering Lead

Kansas City, MO · On-site

$100K - $131.70K/yr

Design and implement backend services and APIs using Python (FastAPI, Flask, or similar frameworks ... Collaborate with DevOps on containerization and orchestration using Docker and Kubernetes.

(USA) Software Engineer III

Noel, MO · On-site

$90K - $180K/yr

... FastAPI) • Design and implement RESTful APIs and GraphQL endpoints to support front-end ... using Azure DevOps, GitHub Actions, or Jenkins • Deploy applications to Azure cloud ...

... processes, developer experience, and platform reliability. Communication & Collaboration ... e.g.,FastAPI) * Familiarity with cloud-native technologies (e.g., Kubernetes) * Experience ...

New

... FastAPI) • Design and implement RESTful APIs and GraphQL endpoints to support front-end ... using Azure DevOps, GitHub Actions, or Jenkins • Deploy applications to Azure cloud ...

... FastAPI) • Design and implement RESTful APIs and GraphQL endpoints to support front-end ... using Azure DevOps, GitHub Actions, or Jenkins • Deploy applications to Azure cloud ...

... processes, developer experience, and platform reliability. Communication & Collaboration ... e.g.,FastAPI) * Familiarity with cloud-native technologies (e.g., Kubernetes) * Experience ...

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Fastapi Developer information

See Missouri salary details

$16

$49

$76

How much do fastapi developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for fastapi developer in Missouri is $49.56, according to ZipRecruiter salary data. Most workers in this role earn between $37.88 and $60.67 per hour, depending on experience, location, and employer.

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

To thrive as a FastAPI Developer, you need strong proficiency in Python programming, RESTful API design, and experience with FastAPI, often supported by a background in computer science or related fields. Familiarity with tools like SQL/NoSQL databases, Docker, and cloud platforms, as well as knowledge of asynchronous programming and API documentation tools like Swagger, is typically required. Excellent problem-solving skills, attention to detail, and effective communication set outstanding FastAPI developers apart. These skills are crucial for building reliable, high-performance APIs that meet modern application demands and facilitate seamless team collaboration.

What are some common challenges FastAPI Developers face when integrating third-party services or APIs?

FastAPI Developers often encounter challenges when integrating third-party services, such as handling authentication protocols (like OAuth2), ensuring compatibility between JSON schemas, and managing asynchronous calls to avoid performance bottlenecks. It’s also common to troubleshoot and adapt to inconsistencies in external API documentation or rate limits. Collaborating closely with frontend teams and DevOps professionals helps streamline these integrations, ensuring robust, scalable API solutions.

What is a FastAPI Developer?

A FastAPI Developer is a software engineer who specializes in building web applications and APIs using the FastAPI framework, which is a modern, fast (high-performance) web framework for Python. FastAPI Developers are responsible for designing, developing, and maintaining backend services and APIs that are efficient, robust, and scalable. They often work with databases, authentication, and deployment processes, and ensure that the API endpoints adhere to best practices for security and performance. Their work is crucial for enabling smooth communication between front-end applications and backend systems.

What is the difference between Fastapi Developer vs Backend Developer?

AspectFastapi DeveloperBackend Developer
Required SkillsPython, Fastapi, REST APIs, async programmingMultiple languages (Python, Java, Node.js), REST/SOAP APIs, databases
Work EnvironmentWeb development, API-focused projects, microservicesBroader software development, server-side logic, database management
Industry UsageTech startups, SaaS, API-driven servicesEnterprise, e-commerce, finance, various industries

Fastapi Developers specialize in building high-performance APIs using Python and Fastapi, often within microservices architectures. Backend Developers have a broader scope, working with multiple languages and technologies to develop server-side applications across various industries. While Fastapi Developers focus on API efficiency, Backend Developers handle comprehensive backend systems.

What are the most commonly searched types of Fastapi Developer jobs in Missouri? The most popular types of Fastapi Developer jobs in Missouri are:
What are popular job titles related to Fastapi Developer jobs in Missouri? For Fastapi Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Fastapi Developer jobs in Missouri look for? The top searched job categories for Fastapi Developer jobs in Missouri are:
What cities in Missouri are hiring for Fastapi Developer jobs? Cities in Missouri with the most Fastapi Developer job openings:
Infographic showing various Fastapi Developer job openings in Missouri as of May 2026, with employment types broken down into 100% Full Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $103,091 per year, or $49.6 per hour.

$88.40K - $106.10K/yr

Full-time

Posted 4 days ago


Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Netherlands.

This role sits at the intersection of software engineering and advanced data systems, supporting global organizations in turning massive, complex datasets into actionable insights. You will design and build scalable data pipelines that power analytics, machine learning, and real-world scientific and business decisions. Working in a fully remote, international environment, you'll collaborate closely with data scientists, ML engineers, and developers to ensure high-quality, reliable, and well-structured data flows. Your work will directly contribute to impactful domains such as biotech, pharma, and enterprise analytics. The role offers strong ownership across data architecture, engineering best practices, and performance optimization. You'll be part of a highly skilled team that values clean engineering, scientific rigor, and meaningful impact.

Accountabilities

In this role, you will be responsible for designing, developing, and maintaining scalable data systems that support large and diverse datasets.

  • Design, build, and maintain scalable data pipelines across multiple environments and data sources.
  • Integrate structured and unstructured data into data warehouses and data lakes.
  • Collaborate with cross-functional teams to ensure data quality, consistency, and accessibility.
  • Develop and optimize ETL/ELT workflows for performance, reliability, and maintainability.
  • Build and refine database schemas, data models, and technical documentation.
  • Implement data governance, security standards, and compliance best practices.
  • Monitor data systems and continuously improve integrity, scalability, and efficiency.
Requirements

We are looking for a strong backend-oriented Data Engineer with solid experience in Python and modern data engineering practices.

  • Strong experience in backend development using Python, with clean and scalable architecture practices.
  • Proficiency with frameworks such as FastAPI, Django REST Framework, or Flask.
  • Solid understanding of SQL, database modeling, and query optimization.
  • Hands-on experience building and maintaining ETL/ELT pipelines.
  • Experience integrating data from multiple sources such as APIs, databases, and streaming systems.
  • Familiarity with distributed systems or large-scale data processing tools.
  • Understanding of data governance, security, and data quality principles.
  • Exposure to cloud platforms such as AWS, Azure, or GCP is a plus.
  • Knowledge of Docker, Kubernetes, and CI/CD tools is advantageous.
  • Experience in life sciences, biotech, genomics, or clinical data environments is a strong plus.
  • Strong collaboration skills and ability to work effectively in distributed, international teams.
Benefits
  • Competitive B2B compensation up to 23,000 PLN net/month.
  • Fully remote work with global collaboration opportunities.
  • Modern work equipment (MacBook or ThinkPad with Linux environment).
  • Budget for professional development, including training, certifications, and conferences.
  • Opportunity to work on high-impact projects in biotech, pharma, and enterprise analytics.
  • Exposure to cutting-edge data engineering and scientific data challenges.
  • Collaborative, supportive, and high-performing engineering culture.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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