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Python Fastapi Developer Jobs in New Jersey (NOW HIRING)

Python (required), JavaScript/Node.js (preferred). * Frameworks: Flask, FastAPI (or Django). * AI Tools: Strong experience with OpenAI's ChatGPT or GPT APIs. * Skilled in prompt engineering and ...

Develop robust, modular, and testable Python applications and APIs using frameworks like FastAPI ... Engineer and manage effective prompts for tasks like Q&A, semantic search, content generation, or ...

The Software Engineer is a critical role in Worldsensing. This role's primary focus is the ... Python. (FastAPI framework) * 2+ years with React is desired. * Experience with C/C++, Java, and ...

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Python Fastapi Developer information

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 job categories do people searching Python Fastapi Developer jobs in New Jersey look for? The top searched job categories for Python Fastapi Developer jobs in New Jersey are:
What cities in New Jersey are hiring for Python Fastapi Developer jobs? Cities in New Jersey with the most Python Fastapi Developer job openings:
Infographic showing various Python Fastapi Developer job openings in New Jersey as of June 2026, with employment types broken down into 50% Internship, and 50% Contract. Highlights an 100% In-person job distribution.

Tech Lead (Python + Databricks+ Streamlit)

Precision Technologies Corp

Iselin, NJ • On-site

$142K - $174K/yr

Contractor

Posted 18 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.