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Python Developer Parttime Jobs in Secaucus, NJ (NOW HIRING)

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Python Developer Parttime information

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How much do python developer parttime jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python developer parttime in Secaucus, NJ is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $49.13 and $67.69 per hour, depending on experience, location, and employer.

What is the difference between Python Developer Parttime vs Python Developer Fulltime?

AspectPython Developer ParttimePython Developer Fulltime
Work HoursLess than 30 hours/week40 hours/week or more
CredentialsTypically similar, may require basic Python certificationsSame as parttime, often with more experience
Work EnvironmentRemote or flexible, project-basedOffice or remote, steady employment
Industry UsageFreelance, startups, part-time projectsEstablished companies, full-time roles

The main difference between a Python Developer Parttime and a Python Developer Fulltime lies in work hours, commitment, and employment structure. Parttime roles offer flexibility and fewer hours, often suitable for freelancers or students, while fulltime positions provide consistent hours and benefits. Both roles require similar skills and credentials, but the work environment and job stability differ.

What are popular job titles related to Python Developer Parttime jobs in Secaucus, NJ?

For Python Developer Parttime jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Python Developer Parttime jobs in Secaucus, NJ look for?

The top searched job categories for Python Developer Parttime jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Python Developer Parttime jobs?

Cities near Secaucus, NJ with the most Python Developer Parttime job openings:

Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Columbia University

New York, NY

$11K - $13K/mo

Part-time

Re-posted 9 days ago


Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.

This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • Conduct office hours.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements

  • Ph.D. in Computer Science, Software Engineering, or related field
  • Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming

  • Experience with the Linux operating system, cloud virtualization and storage systems

  • 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)

  • Knowledge of Python programming language

Preferred Skills & Experience

  • University teaching experience

  • Experience with setting up and configuring Google Cloud Platform services

  • Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes

Additional Information

Please submit a resume inclusive of university teaching experience.

Columbia University is an Equal Opportunity/Affirmative Action employer.

All your information will be kept confidential according to EEO guidelines.
Salary Range: $11,000-$13,000 per semester length course