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Python Intern Jobs in Lanham, MD (NOW HIRING)

Fall Intern: Housing Center

Washington, DC · On-site

$17 - $22.50/hr

Overview The American Enterprise Institute's Housing Center is seeking an intern to support the ... Python, R, Java, or SAS, is preferred but not required. Applicants should be available to ...

Showing results 41-60

Python Intern information

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 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 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 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 are the most commonly searched types of Python jobs in Lanham, MD?

The most popular types of Python jobs in Lanham, MD are:

What cities near Lanham, MD are hiring for Python Intern jobs?

Cities near Lanham, MD with the most Python Intern job openings:

Infographic showing various Python Intern job openings in Lanham, MD as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

WBG Pioneer - AI Data Engineer Intern

The World Bank Group

Washington, DC • On-site

Internship

Re-posted 4 days ago


Job description

Every World Bank-financed project depends on systems that track how money is spent, how risk is managed, and how communities are protected. ITSFD builds those systems-this internship is a chance to work on them directly.

Background/Organizational Context

The World Bank Group (WBG) finances development projects across the globe through three distinct institutions, the International Bank for Reconstruction and Development and the International Development Association (IBRD/IDA), the International Finance Corporation (IFC), and the Multilateral Investment Guarantee Agency (MIGA). The Information and Technology Solutions (ITS) Vice Presidency of the World Bank Group delivers a wide portfolio of technology products and services that enable the WBG's development mission. Within ITS, the Fiduciary Operations unit (ITSFD) is responsible for digital solutions that support Procurement, Financial Management, and Environmental and Social Safeguards across World Bank operations. 

About the Team: Procurement

The Procurement team sits within ITS Fiduciary Operations (ITSFD) and is responsible for the digital systems that support procurement activities across World Bank-financed projects. Its flagship platform is STEP (Systematic Tracking of Exchanges in Procurement), an end-to-end online system used for procurement planning, tracking, and document management across the full procurement lifecycle; from planning through contract management. STEP is used by Task Team Leaders, Procurement Specialists, and borrowers alike and supports transparency and accountability through machine-readable reporting and open contracting data. 

The intern will gain hands-on experience in how a global institution plans and  validates data migration for a complex platform modernization. The role offers exposure to agile delivery, data governance, QA practices, UAT preparation, stakeholder coordination, and the practical realities of moving from legacy systems to a modern digital platform.

Duties and Responsibilities
  • Collect data from databases, APIs, cloud storage, files, and other sources.
  • Clean and transform raw data by handling missing values, duplicates, incorrect formats, and outliers, and build and maintain ETL/ELT pipelines using Python, SQL, and data-engineering tools.
  • Perform data validation and quality checks to ensure accuracy and consistency.
  • Work with large datasets using platforms such as Snowflake, Databricks, Spark, or cloud services.
  • Create and maintain data tables, schemas, feature datasets, and data documentation.
  • Assist with feature engineering for machine-learning models.
  • Support vector databases, embeddings, and Retrieval-Augmented Generation pipelines for generative AI applications.
  • Collaborate with data engineers, data scientists, ML engineers, and software developers.
  • Participate in code reviews, team meetings, testing, and technical documentation.