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Data Engineer Intern Jobs in Washington (NOW HIRING)

EM Structural LLC

Project Engineer Intern

Arlington, VA · On-site

$19.25 - $25/hr

As a Project Engineer Intern, you will have the opportunity to gain hands-on experience and ... Conduct technical tasks such as research, data collection, analysis, and calculations under the ...

Giesecke+Devrient

Profile Engineer Intern

Dulles, VA · On-site

$20/hr

The G+D Mobile Security Intern will manage production data for smart card personalization, create production setups for new cards, and collaborate with development teams and CPMs to generate test ...

Social Impact

Software Engineering Intern

Washington, DC · On-site

Software Engineering Intern Location: Washington DC Metro Area (Hybrid / Occasional Onsite Meetups ... Support development of APIs, workflows, and data processing modules * Participate in architecture ...

Giesecke & Devrient

UICC Engineering Intern

Dulles, VA

$16.50 - $21.50/hr

The UICC Engineering Intern will assist the UICC Engineering department in various projects and ... routine data integration processing & testing * Other projects as assigned Requirements ...

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All JobsData Engineer Intern JobsData Engineer Intern Jobs in Washington

Data Engineer Intern information

See Washington salary details

$15

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How much do data engineer intern jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data engineer intern in Washington is $28.79, according to ZipRecruiter salary data. Most workers in this role earn between $23.41 and $32.69 per hour, depending on experience, location, and employer.

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

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What types of projects and responsibilities can a Data Engineer Intern typically expect during their internship?

As a Data Engineer Intern, you can expect to work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data engineers, data scientists, and business analysts to ensure data accuracy and accessibility. Interns often use tools like SQL, Python, and cloud platforms, gaining exposure to real-world datasets and technologies. This role provides an excellent opportunity to learn industry best practices and receive mentorship while contributing meaningfully to the team's objectives.

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

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.
What are the most commonly searched types of Data Engineer jobs in Washington? The most popular types of Data Engineer jobs in Washington are:
What cities in Washington are hiring for Data Engineer Intern jobs? Cities in Washington with the most Data Engineer Intern job openings:
Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $59,877 per year, or $28.8 per hour.
WBG Pioneer - AI Data Engineer Intern

WBG Pioneer - AI Data Engineer Intern

The World Bank Group

Washington, DC

Other

Posted 5 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.

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