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Cloud Computing Internship Jobs in Hackensack, NJ

Quantitative Developer Intern

New York, NY ยท On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Experience with cloud computing, ideally AWS and Databricks * Experience with numerical Python ...

Data and Transformation Associate

Manhattan, NY ยท On-site

$17.75 - $22.75/hr

Academic or internship-based knowledge of databases, web services, cloud computing, security and project management. Preferred Experience: * 0-2 years of relevant work or internship experience ...

Data and Transformation Associate

Manhattan, NY ยท On-site

$17.50 - $22.75/hr

Academic or internship-based knowledge of databases, web services, cloud computing, security and project management. Preferred Experience: * 0-2 years of relevant work or internship experience ...

At least 4 years of professional software engineering experience (internship experience does not apply). * At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

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Cloud Computing Internship information

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How much do cloud computing internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for cloud computing internship in Hackensack, NJ is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $19.13 per hour, depending on experience, location, and employer.

What is a cloud computing internship?

A Cloud Computing Internship is a temporary position that provides hands-on experience with cloud technologies, platforms, and services. Interns may work on projects involving cloud infrastructure, virtualization, security, automation, and DevOps. They typically use platforms like AWS, Azure, or Google Cloud to develop, test, and deploy applications. This role helps interns build technical skills, gain industry exposure, and prepare for cloud-related careers.

What are the key skills and qualifications needed for a cloud computing internship?

To thrive as a Cloud Computing Intern, a solid understanding of computer science fundamentals, familiarity with cloud architectures, and basic programming skills are essential, often demonstrated through coursework or relevant projects. Interns frequently work with platforms like AWS, Azure, or Google Cloud, and may benefit from introductory certifications such as AWS Cloud Practitioner. Strong problem-solving skills, effective communication, and a willingness to learn new technologies help interns stand out in collaborative, fast-paced environments. These abilities enable interns to adapt quickly, contribute meaningfully to technical projects, and develop valuable industry experience.

What types of projects or tasks can I expect to work on during a cloud computing internship?

As a Cloud Computing Intern, you can expect to work on tasks such as deploying cloud-based applications, assisting with infrastructure automation, and supporting cloud migration projects. You may also help monitor and optimize cloud resources, write scripts to automate processes, or participate in troubleshooting technical issues with the cloud team. Interns are often given opportunities to collaborate with experienced engineers, gain hands-on experience with leading cloud platforms, and contribute to real-world solutions. This hands-on work helps you develop practical skills and build a strong foundation for a future career in cloud computing.

What job categories do people searching Cloud Computing Internship jobs in Hackensack, NJ look for?

The top searched job categories for Cloud Computing Internship jobs in Hackensack, NJ are:

What cities near Hackensack, NJ are hiring for Cloud Computing Internship jobs?

Cities near Hackensack, NJ with the most Cloud Computing Internship job openings:

Quantitative Developer Intern

Point72

New York, NY โ€ข On-site

$21 - $27.50/hr

Internship

Re-posted 19 days ago


Job description

Job Description

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative developer interns for Summer 2025. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

  • Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud technologies
  • Optimizing data ETL pipelines, persistent/in-memory caches, and SQL databases
  • Improving research and trading tools and infrastructure
Desirable Candidates
  • Undergraduate or higher degree in Computer Science, Machine Learning, or other quantitative discipline
  • Strong programming experience in Python with production-level coding quality
  • Experience with Unix environment and shell scripting
  • Experience with cloud computing, ideally AWS and Databricks
  • Experience with numerical Python libraries (e.g. Numpy, Pandas, PyTorch, etc.)
  • Knowledge of version control (Git) and software CI/CD tools and lifecycle
  • Knowledge of profiling (e.g. cProfile, SnakeViz, memory-profiler, etc.) and code optimization is a plus
  • Knowledge of statistics and machine learning is a plus
  • Willing to take ownership of his/her work, working both independently and within a small team
  • Prior experience in the financial services industry is not required
  • Commitment to the highest ethical standards

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.