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Python Fastapi Developer Jobs in Salt Lake City, UT

Principal AI Software Engineer

Sandy, UT · On-site

$128K - $172K/yr

Experience building agentic coding tools , AI agent frameworks, or developer-facing SDKs/APIs ... Proficiency with Python - FastAPI/Django, data pipelines, ML tooling * Knowledge of observability ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

... FastAPI) for model serving • Containerize and orchestrate applications using Docker and ... Python and SQL • Hands-on experience with: o AI/ML and Generative AI o Large Language Models ...

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Python Fastapi Developer information

See Salt Lake City, UT salary details

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$56

$83

How much do python fastapi developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python fastapi developer in Salt Lake City, UT is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.78 and $64.42 per hour, depending on experience, location, and employer.

What is a Python FastAPI Developer job?

A Python FastAPI Developer is responsible for designing, developing, and maintaining backend applications using FastAPI, a modern web framework for building APIs with Python. They work on creating high-performance APIs, integrating with databases, implementing authentication, and ensuring scalability. This role often involves working with asynchronous programming, cloud services, and containerization tools like Docker. Developers collaborate with teams to create efficient, secure, and well-documented API endpoints for web and mobile applications.

What are the key skills and qualifications needed to thrive in the Python Fastapi Developer position, and why are they important?

To thrive as a Python FastAPI Developer, you need strong proficiency in Python programming, experience designing RESTful APIs with FastAPI, and a background in web development concepts. Familiarity with version control systems like Git, containerization tools such as Docker, and knowledge of cloud platforms or SQL/NoSQL databases are commonly required, and certifications in cloud services or Python development can be advantageous. Excellent problem-solving skills, effective communication, and the ability to collaborate in agile teams help developers contribute efficiently to complex projects. These competencies ensure robust, scalable backend solutions and smooth coordination within development teams to meet business goals.

What are some typical daily tasks for a Python FastAPI Developer?

A Python FastAPI Developer typically spends their day designing, developing, and maintaining RESTful APIs to support web or mobile applications. This involves writing clean and efficient Python code, collaborating with frontend developers or other backend engineers to integrate new features, and ensuring the application meets performance and security standards. Developers also participate in code reviews, debugging, and continuous integration processes, while regularly communicating with product managers or stakeholders to align on project requirements. Staying up to date with FastAPI enhancements and industry best practices is also a common part of the role.

What are popular job titles related to Python Fastapi Developer jobs in Salt Lake City, UT? For Python Fastapi Developer jobs in Salt Lake City, UT, the most frequently searched job titles are:
What job categories do people searching Python Fastapi Developer jobs in Salt Lake City, UT look for? The top searched job categories for Python Fastapi Developer jobs in Salt Lake City, UT are:
What cities near Salt Lake City, UT are hiring for Python Fastapi Developer jobs? Cities near Salt Lake City, UT with the most Python Fastapi Developer job openings:
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

Re-posted 3 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.