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Part Time High Performance Computing Jobs in Queens, NY

Exos

Certified Performance Coach

New York, NY

$22 - $38/hr

... including high-risk populations. * Offer one-on-one consultations, personalized training, and ... Additionally, Exos offers a variety of part time benefits (subject to eligibility requirements)

Exos

Certified Performance Coach

New York, NY · On-site

$22 - $38/hr

... including high-risk populations. * Offer one-on-one consultations, personalized training, and ... Additionally, Exos offers a variety of part time benefits (subject to eligibility requirements)

Socotec

Part-Time Delivery Driver

Farmingdale, NY · On-site

... on high-performance buildings and specialty structures. Through an integrated, holistic approach ... FTC is looking for a Part-Time Driver to drive daily routes to various NYC job sites and pick up ...

MIOYM EQUITIES, INC

Be Seen First

Analyst - Multi Family - PART TIME

White Plains, NY · On-site

$20 - $25/hr

We are currently seeking an ANALYST - Multi Family / Land Acquisition - PART TIME to join our team ... high-performance environment. What We Offer: Dynamic Work Culture: Be part of a team that fosters ...

World Market

Part-time Assistant Manager

Livingston, NJ · On-site

$20.49 - $24.49/hr

... high-performance team while maintaining our values, brand, policies, and operational standards ... 49 Full time and Part time associates are eligible to participate in the Company's 401(k) ...

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All JobsHigh Performance Computing JobsPart Time High Performance Computing JobsPart Time High Performance Computing Jobs in Queens, NY

Part Time High Performance Computing information

See Queens, NY salary details

$11

$62

$102

How much do part time high performance computing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for part time high performance computing in Queens, NY is $62.72, according to ZipRecruiter salary data. Most workers in this role earn between $51.44 and $70.96 per hour, depending on experience, location, and employer.

What is the difference between Part Time High Performance Computing vs Part Time Data Analyst?

AspectPart Time High Performance ComputingPart Time Data Analyst
Required credentialsComputer science, engineering degrees, certifications in HPCStatistics, data analysis, programming skills
Work environmentResearch labs, tech companies, academic institutionsBusiness offices, research firms, consulting agencies
Industry usageTechnology, research, scientific computingFinance, marketing, healthcare, business intelligence

Part Time High Performance Computing roles focus on managing and optimizing large-scale computational tasks, often requiring technical degrees and working in research or tech environments. In contrast, Part Time Data Analysts interpret data to support business decisions, typically working in corporate or consulting settings. Both roles involve data handling but differ in technical complexity and industry focus.

What are popular job titles related to Part Time High Performance Computing jobs in Queens, NY? For Part Time High Performance Computing jobs in Queens, NY, the most frequently searched job titles are:
What job categories do people searching Part Time High Performance Computing jobs in Queens, NY look for? The top searched job categories for Part Time High Performance Computing jobs in Queens, NY are:
What cities near Queens, NY are hiring for Part Time High Performance Computing jobs? Cities near Queens, NY with the most Part Time High Performance Computing job openings:
Part Time High Performance Computing jobs near you
Infographic showing various Part Time High Performance Computing job openings in Queens, NY as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $130,453 per year, or $62.7 per hour.
Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

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

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 4 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

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