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Fastapi Python Jobs in Queens, NY (NOW HIRING)

Virtusa Corporation

AI Engineer

New York, NY · On-site

Python, REST APIs, FastAPI * LangChain/LangGraph, LLMs, RAG * AWS, Docker, CI/CD * Vector databases and SQL * Strong software engineering and system design skills

Sidmans

Python AI Fullstack Engineer

Jersey City, NJ · On-site

Hands-On Development Implement features across frontend React and backend Python/FastAPI Optimize performance of APIs database queries and UI components. * Debug and resolve production issues.

MSIG Holdings USA, Inc.

Principal Python Engineer

Warren, NJ · On-site

$140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Deep understanding of Python frameworks such as FastAPI, Flask or similar * Experience building and consuming MCPs, RESTful APIs (and/or GraphQL ) * Hands-on experience with cloud platforms - Azure ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker ...

InterSources Inc

Gen AI Engineer

Edison, NJ · On-site

Required : • Strong hands-on Python knowledge • Hands-on experience in developing API Development in Python using FastAPI/ Flask framework • Working experience in Data Processing, AI enabled ...

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Fastapi Python information

See Queens, NY salary details

$13

$61

$90

How much do fastapi python jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for fastapi python in Queens, NY is $61.17, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.47 per hour, depending on experience, location, and employer.

Do any big companies use Fastapi Python?

Several large companies and tech organizations use FastAPI for building high-performance APIs due to its speed and ease of use with Python. Companies like Microsoft, Netflix, and Uber have adopted FastAPI in some of their projects, often leveraging its asynchronous capabilities and compatibility with modern Python features.

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.

What are popular job titles related to Fastapi Python jobs in Queens, NY?

For Fastapi Python jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Fastapi Python jobs in Queens, NY look for?

The top searched job categories for Fastapi Python jobs in Queens, NY are:

What cities near Queens, NY are hiring for Fastapi Python jobs?

Cities near Queens, NY with the most Fastapi Python job openings:

Fastapi Python jobs near you

Tech Lead (Python + Databricks+ Streamlit)

Precision Technologies Corp

Iselin, NJ • On-site

$142K - $174K/yr

Contractor

Re-posted 21 days ago

Job description

Role : Tech Lead (Python + Databricks+ Streamlit)

Location : Iselin, NJ (Hybrid)

Position Overview

We are seeking a highly skilled Tech Lead with strong hands-on expertise in Python, Databricks, and Angular(Good to have) to lead the design, development, and implementation of scalable data and application solutions. The ideal candidate will guide engineering teams, architect end-to-end systems, and collaborate across functions to deliver high-quality, enterprise-grade products.

Key Responsibilities

Technical Leadership

  • Lead a cross-functional engineering team across backend, frontend, and data engineering streams.
  • Own the full SDLC: architecture, design, development, code reviews, DevOps pipeline oversight, and production deployment.
  • Provide technical direction, mentor developers, enforce coding best practices, and promote engineering excellence.
  • Work closely with product owners, architects, and stakeholders to define technical strategy and roadmap.

Backend Engineering (Python)

  • Design and build robust microservices, APIs, and data processing frameworks using Python.
  • Develop scalable ETL/ELT workflows and backend logic aligned with enterprise data standards.
  • Implement best practices in error handling, logging, performance tuning, and automated testing.

Data Engineering (Databricks)

  • Build large-scale data pipelines and transformations using Databricks (PySpark/Spark SQL).
  • Optimize data workflows for cost, performance, and reliability.
  • Collaborate with data architects to define data models, governance, and quality frameworks.
  • Integrate Databricks with cloud services (Azure/AWS) for end-to-end data solutions.

Cloud & DevOps

  • Work with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated builds and deployments.
  • Ensure seamless deployment and monitoring of applications in cloud environments.
  • Drive improvements in observability, reliability, and system health using monitoring tools.

Collaboration & Stakeholder Management

  • Partner with business teams to translate requirements into scalable technology solutions.
  • Estimate, plan, and track project deliverables.
  • Guide teams in Agile development practices (Scrum/Kanban).

Required Skills & Qualifications

Technical Skills

  • Strong hands-on experience with Python (Flask/FastAPI/Django desirable).
  • Advanced knowledge of Databricks, PySpark, Spark SQL.
  • Experience building large-scale distributed systems.
  • Strong understanding of cloud platforms (Azure preferred, AWS/GCP acceptable).
  • Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Cosmos, MongoDB, etc.).
  • Experience with Git, CI/CD pipelines, Docker, and containerized deployments.