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Internship Data Engineer Intern Jobs in Washington

Internship - Engineering

Columbia, MD

$16.50 - $21.50/hr

If you are seeking a challenging and rewarding construction internship opportunity with a dynamic ... As a Project Engineer Intern, you will apply your knowledge and develop new skills while working on ...

Internship - Engineering

Columbia, MD · On-site

$16.50 - $21.50/hr

If you are seeking a challenging and rewarding construction internship opportunity with a dynamic ... As a Project Engineer Intern, you will apply your knowledge and develop new skills while working on ...

Manufacturing Engineer Intern

Linthicum, MD · On-site

$16.50 - $21.50/hr

US Valve is seeking a motivated, hands-on Engineering Intern to support tooling design, production ... This is a project-based internship focused on practical learning, problem-solving, and ownership.

US Valve is seeking a motivated, hands-on Engineering Intern to support tooling design, production ... This is a project-based internship focused on practical learning, problem-solving, and ownership.

Project Engineer Intern

Arlington, VA · On-site

$19.25 - $25/hr

Conduct technical tasks such as research, data collection, analysis, and calculations under the ... Prior internship or work experience in engineering or construction-related fields is a plus but not ...

Internship We are an early-stage technology startup building a next-generation enterprise platform ... Support development of APIs, workflows, and data processing modules * Participate in architecture ...

2027 Summer Intern Associate

Bethesda, MD · Remote

$15.25 - $20.50/hr

Potential Internship Tracks Interns may be aligned to one of the following areas: Data Science ... Document methodologies and findings for stakeholders Data Engineering Intern * Support development ...

Engineering Intern

Bethesda, MD · On-site

$18 - $23.25/hr

... data integrations connecting multiple PMS, POS, and financial systems like Opera, M3, Sage ... We are seeking a motivated Engineering Intern to join our team for a 6-month internship, and as an ...

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Internship Data Engineer Intern information

What are the key skills and qualifications needed to thrive as an Internship Data Engineer Intern, and why are they important?

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a Data Engineer Intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a Data Engineer Intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
What are popular job titles related to Internship Data Engineer Intern jobs in Washington? For Internship Data Engineer Intern jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Internship Data Engineer Intern jobs in Washington look for? The top searched job categories for Internship Data Engineer Intern jobs in Washington are:
What cities in Washington are hiring for Internship Data Engineer Intern jobs? Cities in Washington with the most Internship Data Engineer Intern job openings:
Infographic showing various Internship Data Engineer Intern job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
WBG Pioneer - AI Data Engineer Intern

WBG Pioneer - AI Data Engineer Intern

The World Bank Group

Washington, DC

Other

Posted 8 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.