1

Data Intern Jobs in Washington (NOW HIRING)

Data Science Intern Location: Fairfax, VA Work Arrangement: On-site Overview : We are seeking a Data Science Intern to support our analytics and database operations. This role focuses on database ...

Data Analytics Summer Intern

Bethesda, MD · On-site

$48.10K - $86.95K/yr

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern - Entry Level to work in our Bethesda, Maryland office. This is an exciting opportunity to use your experience ...

Data Analytics Summer Intern

Bethesda, MD · On-site

$48.10K - $86.95K/yr

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern - Entry Level to work in our Bethesda, Maryland office. This is an exciting opportunity to use your experience ...

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center Manager In this hands-on role, you'll gain comprehensive exposure to data center operations while ...

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center Manager In this hands-on role, you'll gain comprehensive exposure to data center operations while ...

next page

Showing results 1-20

Data Intern information

See Washington salary details

$13

$25

$47

How much do data intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for data intern in Washington is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

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

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.

What does a Data Intern do?

A Data Intern assists data teams by collecting, cleaning, and analyzing data to support business decisions. They often work with tools like Excel, SQL, or Python to organize and visualize data. Typical tasks may include data entry, quality checks, building reports, and helping with basic research projects. This role provides valuable experience in data analysis and helps interns develop technical and analytical skills needed for future data-related careers.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in Washington? The most popular types of Data jobs in Washington are:
What cities in Washington are hiring for Data Intern jobs? Cities in Washington with the most Data Intern job openings:
Infographic showing various Data Intern job openings in Washington as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 92% Full Time, 2% Part Time, and 4% Contract. Highlights an 100% Physical job distribution, with an average salary of $53,016 per year, or $25.5 per hour.

Fall Intern: Data Analysis and Education Policy

AEI

Washington, DC • On-site

Other

Posted 28 days ago


Job description

Overview
The education policy team's data intern will support the team's cutting-edge research at the intersection of data, education policy, and technology. The data intern will research a variety of topics, including by:
  • analyzing and drawing meaningful interpretations from state and national education data sets;
  • using statistical modeling to estimate causal effects;
  • using web scraping to construct novel education data sets;
  • applying text analysis, machine learning, and other techniques to analyze unstructured data; and
  • creating visualizations and written reports to communicate results.

Candidates are expected to:
  • be highly interested in learning more about education policy;
  • have keen attention to detail and be highly effective at communication;
  • be highly proficient in Python and/or R.
  • have a strong understanding of statistics;
  • have a foundational understanding of machine learning;
  • be comfortable working independently when given a project; and
  • be able and eager to learn new skills on the job.

Applicants who go above and beyond will:
  • have taken coursework to understand, or have work experience in, education policy; and
  • demonstrate fluency in both Python and R, and potentially other programming languages;
  • have a strong understanding of regression and causal analysis; and
  • have experience applying machine learning and/or natural language processing to unstructured, messy data sets.

The ideal candidate for this position will have a passion for understanding K-12 American education through multiple types of data, have a general STEM background with a foundational understanding of data science, and be driven by open-minded,
intellectual curiosity. Candidates who are able to participate in the program on an in-person basis for 30-40 hours a week are encouraged to apply.
About AEI Internships
AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation's leading think tanks.
Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI's internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.
The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.