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Internship Python Jobs in Central Islip, NY (NOW HIRING)

BLP Intern - Credit

Stamford, CT

$16 - $21.25/hr

Business Leadership Program Internship Overview: Synchrony's Business Leadership Program Summer ... SAS, Python, Machine Learning * Modeling skills plus experience with financial statements P&L ...

Junior Systems Admin

Bethpage, NY · On-site

$25 - $40/hr

Use basic scripting (primarily Bash and introductory Python) to automate repetitive tasks and ... Internship, coursework, home lab, or hands-on exposure to Linux servers or virtualized environments ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python preferred * Strong problem solving and quantitative skills * High degree of intellectual ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python preferred * Strong problem solving and quantitative skills * High degree of intellectual ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python, Matlab, C++) as a research tool Who You Are * Committed to intellectual integrity, with a ...

The Internship Program Our 10-week summer program puts real work of the firm in your hands. You ... Python, Matlab, C++) as a research tool Who You Are * Committed to intellectual integrity, with a ...

Junior Business Analyst

Port Washington, NY · On-site

$28.75 - $38.50/hr

The ideal candidate will use analytical tools, including Python and SQL, to automate data workflows ... Prior internship experience in a data-centric role (Data Analyst, Business Analyst, or Sales Ops ...

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Internship Python information

See Central Islip, NY salary details

$13

$59

$87

How much do internship python jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for internship python in Central Islip, NY is $59.34, according to ZipRecruiter salary data. Most workers in this role earn between $48.89 and $67.40 per hour, depending on experience, location, and employer.

What types of projects and responsibilities can I expect during a Python internship?

During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.

What is an Internship Python job?

An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.

What are the key skills and qualifications needed to thrive in the Internship Python position, and why are they important?

To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.

What Are Internship Opportunities That Use Python?

Python internship opportunities are for students who want to gain experience using the Python programming language in a real-world setting. Geared primarily toward students studying computer science, IT, web development, or a related subject, Python internships are temporary positions useful in garnering practical knowledge with a general-purpose programming language. Your internship duties can vary depending on your employer and their particular needs. You may write code, test existing code, or make updates to existing software, websites, or applications. Your responsibilities can also include programming algorithms and performing automated data analysis using Python.

More about Internship Python jobs
What cities near Central Islip, NY are hiring for Internship Python jobs? Cities near Central Islip, NY with the most Internship Python job openings:

$122K - $146K/yr

Full-time

Posted 11 days ago


Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.