1

Sql Python Internship Jobs in Oak Forest, IL (NOW HIRING)

Student Intern

Downers Grove, IL · On-site

$20 - $25/hr

Experience with tools such as Excel, SQL, Python, R, or similar analytics platforms is preferred ... This internship is designed to extend beyond the summer, with a preference for candidates who are ...

Student Intern

Downers Grove, IL · On-site +1

$20 - $25/hr

Experience with tools such as Excel, SQL, Python, R, or similar analytics platforms is preferred ... This internship is designed to extend beyond the summer, with a preference for candidates who are ...

Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go ... At least 6 years of experience in software engineering (Internship experience does not apply) * At ...

Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go ... At least 4 years of experience in software engineering (Internship experience does not apply) * At ...

next page

Showing results 1-20

Sql Python Internship information

See Oak Forest, IL salary details

$12

$56

$83

How much do sql python internship jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for sql python internship in Oak Forest, IL is $56.73, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.

What is a SQL Python internship?

A SQL Python Internship is a temporary training position designed for students or recent graduates who want hands-on experience working with SQL databases and Python programming. Interns typically assist with data analysis, database management, and automation tasks using SQL and Python. The role helps individuals develop technical skills, gain exposure to real-world projects, and prepare for a career in data science, analytics, or software development.

What are some common projects or tasks I might work on during a SQL Python internship?

As a SQL Python intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, building data pipelines, and creating reports or dashboards. Typical tasks may include writing SQL queries to extract or manipulate data from databases, developing Python scripts for automation, and collaborating with data analysts or engineers on ongoing projects. You'll likely participate in team meetings, contribute to code reviews, and receive mentorship to help you develop both technical and professional skills. This hands-on experience is valuable for building a foundation in data engineering or analytics roles.

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

To succeed as an SQL Python Intern, you should have a foundational understanding of database concepts, SQL querying, and Python programming, often supported by coursework or relevant certifications. Familiarity with database management systems like MySQL or PostgreSQL, and experience using tools such as Jupyter Notebooks or version control systems like Git, are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate and solve problems efficiently. These skills enable interns to contribute to data-driven projects and support the technical needs of their team.

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

AspectSql Python InternshipData Analyst Internship
Required SkillsSQL, Python, basic data manipulationSQL, Excel, data visualization
Work EnvironmentTech companies, startups, data teamsBusiness, finance, marketing sectors
Industry UsageData engineering, software developmentBusiness insights, reporting

Sql Python Internships focus on developing skills in SQL and Python for data extraction and manipulation, often within tech environments. Data Analyst Internships emphasize data visualization and reporting skills for business decision-making. While both roles involve data handling, Sql Python Internships are more technical and programming-oriented, whereas Data Analyst Internships focus on interpreting data for strategic insights.

What are popular job titles related to Sql Python Internship jobs in Oak Forest, IL? For Sql Python Internship jobs in Oak Forest, IL, the most frequently searched job titles are:
What job categories do people searching Sql Python Internship jobs in Oak Forest, IL look for? The top searched job categories for Sql Python Internship jobs in Oak Forest, IL are:
What cities near Oak Forest, IL are hiring for Sql Python Internship jobs? Cities near Oak Forest, IL with the most Sql Python Internship job openings:

Quantitative Developer Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 12 days ago


Job description

This is a 10 week internship available all seasons of the year.
What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.