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Python Intern Jobs in Fairfield, NJ (NOW HIRING)

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects ... Advanced proficiency in Python required * Fluent English essential * Good command of Excel and ...

Octaura

Intern, Data Engineering

New York, NY · On-site

As an intern on the data engineering team you will work directly with our senior data engineers ... In this role you'll assist with developing Python-based data workflows, supporting cloud-based data ...

Coty

Digital Transformation Intern

Cedar Brook, NJ · On-site

Digital Transformation intern 6 months September starting, but possibility to start earlier Coty is ... Experience with Python, VBA, or Power Automate * Familiarity with ERP systems or business software

Altanova

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Altanova is actively hiring a building performance intern to join our real estate group. This ... Proficiency in C# or Python programming. Equal Opportunities Altanova is an Equal Opportunity ...

Altanova

Energy Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Altanova is actively hiring a building performance intern to join our real estate group. This ... Proficiency in C# or Python programming. Equal Opportunities Altanova is an Equal Opportunity ...

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All JobsPython Intern JobsPython Intern Jobs in Fairfield, NJ

Python Intern information

What is the difference between Python Intern vs Python Developer?

AspectPython InternPython Developer
Required CredentialsTypically pursuing or recently completed a degree in computer science or related fieldProven experience, often with a degree or equivalent in computer science or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time roles, independent project work, team collaboration
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Common Search & ComparisonEntry-level, learning, internship opportunitiesProfessional, full-time employment, career growth

The main difference between a Python Intern and a Python Developer lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, working under supervision. Developers are experienced professionals responsible for designing, coding, and maintaining software solutions independently. Internships serve as a stepping stone toward becoming a full-fledged Python Developer.

What types of projects can a Python Intern expect to work on during their internship?

As a Python Intern, you will typically be involved in supporting ongoing development projects, such as building automation scripts, data analysis tools, or assisting with backend web development. Interns often collaborate with software engineers, data scientists, or QA teams to contribute code, debug issues, and participate in code reviews. The scope of projects may vary by company, but most internships provide hands-on experience with real codebases, exposure to version control systems like Git, and opportunities to learn best practices from experienced mentors.

What does a Python Intern do?

A Python Intern typically assists in developing, testing, and maintaining software applications using the Python programming language. They may work on tasks such as writing scripts, debugging code, automating processes, and collaborating with team members on various projects. Interns often gain hands-on experience with frameworks, libraries, and tools commonly used in Python development. The role is designed to help them build practical skills and prepare for a full-time career in software engineering.

What are the key skills and qualifications needed to thrive as a Python Intern, and why are they important?

To thrive as a Python Intern, you need a solid understanding of Python programming fundamentals, problem-solving ability, and typically a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of frameworks such as Django or Flask, and experience using code editors or IDEs are common technical requirements. Initiative, willingness to learn, and effective communication help interns stand out by enabling collaboration and adaptability in team environments. These skills ensure that interns can contribute effectively to projects, learn quickly, and integrate smoothly into professional development workflows.
What cities near Fairfield, NJ are hiring for Python Intern jobs? Cities near Fairfield, NJ with the most Python Intern job openings:
Python Intern jobs near you
Infographic showing various Python Intern job openings in Fairfield, NJ as of July 2026, with employment types broken down into 18% Internship, 1% As Needed, 49% Full Time, 28% Part Time, 3% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Quantitative Developer Intern

WallStreetQuants

New York, NY • On-site

$21 - $27.50/hr

Internship

Posted 12 days ago

Job description

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets.

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems

Requirements

Responsibilities
  • Design, develop, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
  • Assist in developing trading infrastructure, market data pipelines, and execution tools.
  • Optimize code for speed, reliability, scalability, and maintainability.
  • Work with large datasets and help improve data quality, storage, and retrieval.
  • Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
  • Debug, test, and document software systems used in live or simulated trading environments.
  • Contribute to automation, monitoring, and workflow improvements across the trading platform.
Qualifications
  • Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
  • Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.
  • Solid understanding of data structures, algorithms, software design, and debugging.
  • Familiarity with Linux, version control, and command-line development tools.
  • Strong analytical and problem-solving abilities.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Interest in financial markets, trading systems, quantitative research, or data-driven decision-making.
Preferred Qualifications
  • Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure.
  • Familiarity with SQL, pandas, NumPy, or other data processing tools.
  • Experience building APIs, internal tools, dashboards, or research platforms.
  • Knowledge of networking, concurrency, memory management, or systems programming.
  • Exposure to financial markets, market data, order execution, backtesting, or risk systems.
  • Previous internship, research, open-source, or project experience involving production-quality software.

Benefits

What You’ll Gain
  • Hands-on experience building software for quantitative trading and research.
  • Exposure to real-world trading infrastructure, market data systems, and analytical tools.
  • Mentorship from experienced quantitative developers, researchers, and traders.
  • The opportunity to work on projects with direct impact on trading and research workflows.
  • Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.