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Sql Python Intern Jobs in New York (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... Python - basic to intermediate proficiency; comfortable writing scripts and small programs * SQL ...

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 ... using SQL and Python (or related language) as well as a strong interest in creating the data ...

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Sql Python Intern information

What are SQL Python Interns?

SQL Python Interns are entry-level professionals or students who assist with database management and data analysis tasks using SQL (Structured Query Language) and Python programming. They typically work under the supervision of experienced data engineers or analysts to help retrieve, process, and analyze data. Their responsibilities may include writing SQL queries, cleaning datasets, automating data workflows with Python, and generating reports. This internship provides hands-on experience in data manipulation, programming, and problem-solving, which are valuable skills for careers in data science and analytics.

What kinds of projects and tasks can a SQL Python Intern expect to work on during their internship?

As a SQL Python Intern, you can expect to work on tasks such as data cleaning, database querying, and developing scripts to automate data processing. Interns often assist in building and maintaining data pipelines, generating reports, and supporting data analysis for ongoing projects. You'll typically collaborate with data analysts, engineers, and sometimes business stakeholders to ensure data integrity and provide insights that drive decision-making. This role provides hands-on experience with real datasets and gives you the opportunity to learn best practices in both SQL and Python within a collaborative, supportive team environment.

What is the difference between Sql Python Intern vs Data Analyst Intern?

AspectSql Python InternData Analyst Intern
Required SkillsBasic SQL, Python scripting, data manipulationSQL, Python, data visualization, statistical analysis
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, marketing departments
Common UsageSupporting data projects, database managementInterpreting data, creating reports, insights

The Sql Python Intern role focuses on supporting data projects through basic SQL and Python scripting, often within tech environments. In contrast, Data Analyst Interns typically perform data interpretation, visualization, and reporting tasks. While both roles require SQL and Python skills, Data Analyst Interns usually have additional knowledge of data visualization tools and statistical methods. Understanding these differences helps candidates choose the role that best aligns with their skills and career goals.

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

To thrive as an SQL Python Intern, you need a solid understanding of relational databases, SQL queries, and foundational programming skills in Python, often supported by coursework or certifications in computer science or related fields. Familiarity with tools like MySQL, PostgreSQL, Jupyter Notebooks, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication help interns excel in collaborative, data-driven environments. These skills are crucial for efficiently extracting insights from data, contributing to team projects, and supporting business decision-making processes.
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Sql Python Intern jobs near you
Infographic showing various Sql Python Intern job openings in New York as of July 2026, with employment types broken down into 14% Internship, 1% As Needed, 56% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Quantitative Trader Intern

WallStreetQuants

New York, NY

Full-time

Posted 10 days ago

Job description

An NYC based proprietary trading firm is seeking a motivated Quantitative Trader Intern to join our trading team. This internship is designed for students who are passionate about financial markets, data analysis, probability, and decision-making under uncertainty.

As a Quantitative Trader Intern, you will work alongside experienced traders, researchers, and engineers to analyze market behavior, develop trading insights, and support the execution and improvement of systematic trading strategies. This role offers hands-on exposure to real-time markets, quantitative research, and the trading decision process.

Requirements

Responsibilities
  • Analyze financial market data to identify patterns, inefficiencies, and trading opportunities.
  • Assist in the development, testing, and refinement of quantitative trading strategies.
  • Build tools and dashboards to monitor market activity, strategy performance, and trading signals.
  • Conduct statistical analysis and backtesting using historical data.
  • Collaborate with traders, researchers, and engineers to improve trading models and workflows.
  • Monitor live markets and help evaluate risk, execution quality, and strategy behavior.
  • Present research findings and trading insights to the broader team.
Qualifications
  • Currently pursuing a Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Solid understanding of probability, statistics, and mathematical modeling.
  • Programming experience in Python, R, or a similar language.
  • Interest in financial markets, trading, game theory, or competitive problem-solving.
  • Ability to work well in a fast-paced, collaborative environment.
  • Strong attention to detail and intellectual curiosity.
Preferred Qualifications
  • Experience with data analysis, machine learning, optimization, or time-series modeling.
  • Prior exposure to trading, investing, market microstructure, or financial derivatives.
  • Experience with pandas, NumPy, SQL, or other data analysis tools.
  • Participation in math competitions, programming contests, poker, chess, sports betting, or other strategy-based competitions.
  • Ability to communicate complex ideas clearly and concisely.

Benefits

What You'll Gain
  • Hands-on experience working with real-world financial market data.
  • Exposure to systematic trading, risk management, and strategy development.
  • Mentorship from experienced quantitative traders and researchers.
  • The opportunity to contribute to projects with direct trading impact.
  • A deeper understanding of how quantitative analysis is applied in live markets.

Apply