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Fastapi Python Jobs in Arizona (NOW HIRING)

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Develop REST APIs using FastAPI Python to support data services * Implement robust data quality and validation frameworks * Monitor pipeline performance, retries, and SLA compliance Required Skills ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

... FastAPI Python to support data services • Implement robust data quality and validation frameworks • Monitor pipeline performance, retries, and SLA compliance Qualifications : Required : • 6+ ...

PySpark & distributed data processing Python API development using FastAPI or Flask Google Cloud Platform (GCP): BigQuery, Composer, DAGs, Cloud Storage Batch and real-time data pipeline development ...

Python Developer

Phoenix, AZ · On-site

$50 - $55/hr

Strong experience with Python frameworks such as Django, Flask, or FastAPI. * Hands-on experience developing and integrating REST APIs / Microservices . * Strong knowledge of Object-Oriented ...

Python Developer

Phoenix, AZ · On-site

$125 - $150/hr

Strong experience with Python frameworks such as Django, Flask, or FastAPI. * Hands-on experience developing and integrating REST APIs / Microservices . * Strong knowledge of Object-Oriented ...

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term ... Flask, FastAPI, Hugging Face, Triton Inference Server * pgVector, Milvus, Prometheus, Elasticsearch ...

Design, develop, and maintain high-performance, asynchronous backend services using Python and FastAPI. ? AI Integration: Collaborate with ML engineers to deploy and scale AI models, specifically ...

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

The AI Developer will be responsible for building scalable backend services using Python and FastAPI , integrating AI capabilities, developing APIs, and supporting AI orchestration workflows across ...

Experience with asynchronous frameworks (Aiohttp, FastAPI, or similar). Tech Stack * Languages & Frameworks: Python, JavaScript, React, Vue.js * Backend & Database: REST APIs, MySQL or other ...

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Fastapi Python information

What is the difference between Fastapi Python vs Django Developer?

AspectFastapi PythonDjango Developer
Primary FocusBuilding high-performance APIsDeveloping full-stack web applications
FrameworkFastapiDjango
Work EnvironmentBackend API services, microservicesWeb applications, content management systems
Required SkillsPython, asynchronous programming, REST APIsPython, Django framework, HTML/CSS, databases

Fastapi Python developers specialize in creating fast, scalable APIs using the Fastapi framework, often for microservices and backend systems. Django developers focus on building comprehensive web applications with integrated features. Both roles require Python, but Fastapi emphasizes performance and asynchronous programming, while Django offers a full-stack solution.

Infographic showing various Fastapi Python job openings in Arizona as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Data Platform Engineer

Phoenix, AZ • On-site

Eitacies Inc
IT Services • 11 - 50 employees

$100K - $135K/yr

Full-time

Retirement

Re-posted yesterday


Job description

Benefits:
  • 401(k)

Senior Data Platform Engineer  
Onsite Phoenix, AZ
Job Description

We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ.
This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform.
Key Responsibilities:
  • Design and maintain Airflow DAGs for production data workflows
  • Develop and optimize Spark / PySpark jobs on Dataproc
  • Build and optimize complex SQL transformations
  • Develop REST APIs using FastAPI Python to support data services
  • Implement robust data quality and validation frameworks
  • Monitor pipeline performance, retries, and SLA compliance
Required Skills:
  • 6+ years of data engineering experience
  • Strong Python programming skills
  • Production experience with Apache Spark PySpark
  • Experience with Airflow DAG development
  • Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred)
  • Experience building APIs using FastAPI
  • Strong SQL and data modeling knowledge
  • Experience implementing data quality checks (schema validation, row count checks, anomaly detection)