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Fastapi Developer Jobs in Utah (NOW HIRING)

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Job Type: Permanent Full Time Location: Salt Lake City, Utah, United States How ... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ...

Reed

$53 - $70.25/hr

Python (including frameworks like Django, Flask, or FastAPI) * PostgreSQL and relational database ... Experience with CI/CD pipelines, automated testing, and DevOps practices. * Solid grasp of security ...

System One

AI Engineer

Salt Lake City, UT · On-site

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... engineering, and business teams Required qualifications to be successful in this role What you'll ...

System One

AI Engineer

Salt Lake City, UT · On-site

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... engineering, and business teams Required qualifications to be successful in this role What you'll ...

System One

AI Engineer

Salt Lake City, UT · On-site

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... engineering, and business teams Required qualifications to be successful in this role What you'll ...

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$15

$48

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How much do fastapi developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for fastapi developer in Utah is $48.10, according to ZipRecruiter salary data. Most workers in this role earn between $36.78 and $58.85 per hour, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Fastapi Developer jobs in Utah? The most popular types of Fastapi Developer jobs in Utah are:
What are popular job titles related to Fastapi Developer jobs in Utah? For Fastapi Developer jobs in Utah, the most frequently searched job titles are:
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What cities in Utah are hiring for Fastapi Developer jobs? Cities in Utah with the most Fastapi Developer job openings:
Fastapi Developer jobs near you
Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Python Data Engineer / API Developer - Salt Lake City, UT - day 1 onsite - Long term

Inficare Technologies

Salt Lake City, UT • On-site

$48.50 - $67/hr

Full-time

Posted 2 days ago

Job description

Role : Python Data Engineer / API Developer
Location: Salt Lake City Its day 1 onsite
Duration: Long term
Key: Python, PySpark, GCP, API development
Role Overview
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for batch and/or real-time processing.
  • Build and optimize PySpark applications running on distributed clusters.
  • Develop secure and scalable Python-based APIs.
  • Work with cloud-native GCP services including BigQuery, Composer, DAGs, and Cloud Storage Buckets.
  • Implement data quality checks, validations, and monitoring frameworks within pipelines.
  • Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers.
  • Ensure performance optimization, reliability, and security best practices across solutions.

Required Skills & Qualifications
  • Strong hands-on experience with PySpark and distributed cluster computing.
  • Proven experience in building Python APIs with a focus on security and scalability.
  • Strong knowledge of API frameworks such as FastAPI or Flask.
  • Hands-on experience with Google Cloud Platform (GCP) services:
    • BigQuery
    • Composer
    • DAG orchestration
    • Cloud Storage Buckets
  • Experience in building robust batch and/or real-time data pipelines.
  • Strong understanding of data quality frameworks and practices.

Preferred Skills
  • Experience with BI and reporting tools such as:
    • Power BI
    • MicroStrategy
  • Familiarity with CI/CD pipelines and DevOps practices is an added advantage.
  • Exposure to data governance and monitoring tools is a plus.

Apply