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Senior Fastapi Developer Jobs in Arizona (NOW HIRING)

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Senior Data Platform Engineer Onsite Phoenix, AZ We are hiring a Senior Data Platform Engineer for ... using FastAPI Python to support data services Implement robust data quality and validation ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$100K - $135K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Phoenix, AZ We are hiring a Senior Data ... Develop REST APIs using FastAPI Python to support data services * Implement robust data quality and ...

Senior Data Platform Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

EITACIES Inc. is seeking a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. The ... using FastAPI Python to support data services • Implement robust data quality and validation ...

... FastAPI. ? AI Integration: Collaborate with ML engineers to deploy and scale AI models ... Infrastructure & DevOps: Own the lifecycle of your services--from containerization with Docker to ...

... senior engineers, contributing to major releases that reach 60+ nuclear reactors * Write production code across the full stack - React on the frontend, FastAPI on the backend * Learn modern delivery ...

This is a senior individual contributor role for an engineer who thrives at the intersection of ... Develop backend services in Python on AWS, with Lambda or FastAPI as the primary compute layers ...

Senior Fastapi Developer information

What does a Senior FastAPI Developer do?

A Senior FastAPI Developer designs, develops, and maintains backend web applications using the FastAPI framework in Python. They are responsible for building scalable APIs, optimizing performance, ensuring security best practices, and integrating with databases and external services. Senior developers also mentor junior team members, contribute to architecture decisions, and collaborate closely with front-end engineers and stakeholders to deliver robust software solutions.

What are some common challenges faced by Senior FastAPI Developers when scaling applications, and how can these be addressed?

Senior FastAPI Developers often encounter challenges related to managing high concurrency, optimizing API performance, and ensuring robust security as applications scale. To address these, it’s important to implement asynchronous programming practices, leverage efficient database queries, and utilize API gateways for better traffic management. Collaboration with DevOps and QA teams is also essential to automate deployments and monitor system health, ensuring smooth scaling and reliable user experiences.

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

To thrive as a Senior FastAPI Developer, you need deep expertise in Python, RESTful API design, and experience building scalable web backends, typically supported by a degree in computer science or related field. Familiarity with FastAPI, Docker, cloud platforms (such as AWS or Azure), and CI/CD tools is highly valued, along with proficiency in testing frameworks. Strong problem-solving, leadership, and communication skills help you collaborate effectively with cross-functional teams and mentor junior developers. These skills enable the delivery of robust, efficient, and maintainable APIs that support business goals and high user demands.
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Infographic showing various Senior Fastapi Developer job openings in Arizona as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.
Senior Data Platform Engineer

Senior Data Platform Engineer

EITACIES

Phoenix, AZ • On-site

$105K - $143K/yr

Other

Posted 9 days ago


Job description

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)