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Night Shift Python Django Backend Developer Jobs in New Jersey

Python Developer

Pennington, NJ · On-site

$110K - $120K/yr

Based on your experience, I believe you could Python Developer with one of our clients, through an ... Design and implement back-end software components using Python frameworks such as Django or Flask

NJ

$175K/yr

... Open Shift, Public cloud - AWS, Azure. * Build micro services and APIs using REST/GraphQL. * Work ... Java, Spring Boot, Python, Django, C#, C++, .Net, Nodejs, Go. * Use test-driven development to ...

... Open Shift, Public cloud - AWS, Azure. * Build micro services and APIs using REST/GraphQL. * Work ... Java, Spring Boot, Python, Django, C#, C++, .Net, Nodejs, Go. * Use test-driven development to ...

Senior Python AI/ML Developer

Jersey City, NJ · On-site

$126K - $170K/yr

This role requires strong expertise in Python, system design, and modern backend technologies. The ... web framework (Django, Flask, or FastAPI) Strong understanding of RESTful API design and ...

Senior Python AI/ML Developer

Jersey City, NJ · On-site

$126K - $170K/yr

This role requires strong expertise in Python, system design, and modern backend technologies. The ... web framework (Django, Flask, or FastAPI) Strong understanding of RESTful API design and ...

Onshore Python Developer - Only W2

Warren, NJ · On-site

$52.25 - $72/hr

Onshore Python Developer Location: Warren, NJ (Onsite - 3 days a week to biweekly, subject for ... Django. * Experience building or supporting web applications, backend services, and APIs.

Python Developer

Edison, NJ · On-site

$52 - $71.75/hr

We do have a job opening for the position of Python Developer Position with one of our clients ... Keyskills : Django, Python , JSON, Web Services, Unit Testing, Web Technologies.. Thanks and ...

Showing results 21-40

Night Shift Python Django Backend Developer information

What are some common challenges faced by night shift Python Django backend developers, and how can I prepare for them?

Night shift Python Django Backend Developers often encounter challenges related to working with limited real-time collaboration, as most teammates and stakeholders may be offline. This can require independent problem-solving and strong written communication skills to document progress and raise issues for the next shift. Additionally, maintaining a healthy work-life balance and managing fatigue are important, so it's helpful to establish a consistent routine and leverage asynchronous communication tools. Preparing by familiarizing yourself with the team's handover processes and project management platforms can make the transition into night shift work smoother and more productive.

What is a night shift Python Django backend developer?

Night Shift Python Django Backend Developers are software engineers who specialize in building and maintaining server-side applications using the Python programming language and the Django web framework, specifically working during nighttime hours. Their main responsibilities include developing backend logic, integrating databases, creating APIs, and ensuring the performance and security of web applications. Working the night shift may involve collaborating with teams in different time zones, providing overnight technical support, or maintaining critical systems outside regular business hours. These developers are essential for organizations that require 24/7 operations or support global clients.

What is the difference between Night Shift Python Django Backend Developer vs Night Shift Java Spring Backend Developer?

AspectNight Shift Python Django Backend DeveloperNight Shift Java Spring Backend Developer
Required SkillsPython, Django, REST APIs, databasesJava, Spring Framework, REST APIs, databases
Work EnvironmentWeb development, startups, tech companiesEnterprise applications, financial services, tech firms
CertificationsPython certifications, Django coursesJava certifications, Spring certifications
Industry UsagePopular in startups and tech companiesCommon in large enterprises and financial institutions

Both roles involve backend development with a focus on server-side logic, APIs, and databases. The main difference lies in the programming language and framework used: Python with Django versus Java with Spring. Your choice depends on your preferred language, industry focus, and the specific tech stack of the employer.

What are the key skills and qualifications needed to thrive as a night shift Python Django backend developer?

To thrive as a Night Shift Python Django Backend Developer, you need strong proficiency in Python, Django framework, RESTful API development, and a solid understanding of databases, often supported by a degree in computer science or a related field. Familiarity with version control tools like Git, containerization platforms such as Docker, and cloud services (AWS, Azure) is typically required, and certifications in these areas can be advantageous. Excellent problem-solving abilities, effective communication, and the capacity to work independently during night hours help you excel in this role. These skills and qualities are crucial to ensure consistent, reliable backend performance and timely project delivery while collaborating across different time zones.
What cities in New Jersey are hiring for Night Shift Python Django Backend Developer jobs? Cities in New Jersey with the most Night Shift Python Django Backend Developer job openings:

Tech Lead (Python + Databricks+ Streamlit)

Precision Technologies Corp

Iselin, NJ • On-site

$142K - $174K/yr

Contractor

Re-posted 15 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.