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Python Developer Parttime Jobs in Hempstead, NY (NOW HIRING)

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How much do python developer parttime jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python developer parttime in Hempstead, NY is $60.96, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $69.23 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.

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For Python Developer Parttime jobs in Hempstead, NY, the most frequently searched job titles are:

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Cities near Hempstead, NY with the most Python Developer Parttime job openings:

Python Developer Parttime jobs near you
Infographic showing various Python Developer Parttime job openings in Hempstead, NY as of June 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,801 per year, or $61 per hour.

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

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 23 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 to pursue greater human understanding, pioneering 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 twenty 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 Associate for a graduate-level course in Cloud Computing. An Associate is a faculty line junior to a Lecturer who provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

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

  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.

  • Evaluate, grade student work and assessments as requested by the course Lecturer.

  • Monitor and address student concerns and inquiries.

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

  • Graduate degree 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

Salary range: $2,000 - $3,000 per semester long course

Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

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