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Analytics Engineer Intern Jobs in Washington, DC

Transportation Engineering Intern

Fairfax, VA · On-site

$17 - $22.25/hr

As a Transportation Engineering Intern, you'll work alongside our talented team to tackle complex ... Exposure to data analysis and GIS tools. * Excellent communication and teamwork skills. * A passion ...

As a Transportation Engineering Intern, you'll work alongside our talented team to tackle complex ... Exposure to data analysis and GIS tools. * Excellent communication and teamwork skills. * A passion ...

Engineering Intern

Bethesda, MD · On-site

$18 - $23.25/hr

... analytical workflows across hotels, management companies, and ownership groups. Our ecosystem ... We are seeking a motivated Engineering Intern to join our team for a 6-month internship, and as an ...

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Analytics Engineer Intern information

See Washington, DC salary details

$12

$21

$33

How much do analytics engineer intern jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for analytics engineer intern in Washington, DC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $18.22 and $23.70 per hour, depending on experience, location, and employer.

What does an Analytics Engineer Intern do?

An Analytics Engineer Intern supports the data team by building and maintaining analytics infrastructure, such as data pipelines and dashboards. They work with both raw data and business teams to ensure data is accessible, clean, and ready for analysis. Typical responsibilities include writing SQL queries, developing data models, and collaborating with data analysts and engineers to deliver insights. The role provides hands-on experience with data tools and real-world business problems, serving as a bridge between engineering and analytics. This helps organizations make data-driven decisions more efficiently.

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

To thrive as an Analytics Engineer Intern, you need a solid understanding of data analysis, SQL, and foundational programming concepts, often supported by coursework in computer science, statistics, or a related field. Familiarity with data warehousing tools such as dbt, cloud platforms like Snowflake or BigQuery, and visualization tools like Tableau or Looker is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate insights clearly will help you stand out in this role. These skills and qualities are vital for transforming raw data into actionable insights and ensuring data-driven decision-making within organizations.

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

AspectAnalytics Engineer InternData Analyst Intern
Required skillsSQL, data modeling, basic scripting, cloud platformsExcel, SQL, data visualization, statistical analysis
Work environmentCollaborates with data engineering and analytics teams, often in tech or data-driven companiesWorks with business teams to interpret data, often in various industries
Typical tasksBuilding data pipelines, optimizing data workflows, supporting analytics infrastructureAnalyzing datasets, creating reports, visualizations, and insights

In summary, Analytics Engineer Interns focus on developing and maintaining data infrastructure and pipelines, often requiring technical skills like SQL and scripting. Data Analyst Interns primarily interpret data through analysis and visualization to support business decisions. Both roles are essential in data-driven organizations but differ in technical depth and focus.

How does an Analytics Engineer Intern typically collaborate with data scientists and business analysts during a project?

As an Analytics Engineer Intern, you’ll often serve as the crucial link between raw data and actionable insights. You’ll work closely with data scientists to ensure datasets are properly structured, clean, and optimized for modeling, while also partnering with business analysts to translate their requirements into clear data models and visualizations. Successful collaboration involves regular meetings, iterative feedback, and clear documentation so that everyone can leverage the data effectively. This cross-functional teamwork not only enhances your technical skills but also helps you develop a deeper understanding of how analytics drives business decisions.
What are the most commonly searched types of Analytics Engineer jobs in Washington, DC? The most popular types of Analytics Engineer jobs in Washington, DC are:
What job categories do people searching Analytics Engineer Intern jobs in Washington, DC look for? The top searched job categories for Analytics Engineer Intern jobs in Washington, DC are:
Infographic showing various Analytics Engineer Intern job openings in Washington, DC as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $45,501 per year, or $21.9 per hour.

Software Engineering Intern

Social Impact, Inc.

Washington, DC • Hybrid

Other

Re-posted 12 days ago


Job description

Software Engineering Intern

Location: Washington DC Metro Area (Hybrid / Occasional Onsite Meetups)
Type: Internship

We are an early-stage technology startup building a next-generation enterprise platform focused on workflow management, analytics, AI-assisted decision support, and adaptive reporting systems.

We are looking for highly motivated Software Engineering Interns who are interested in working in a fast-paced startup environment and contributing to real-world product development.

Responsibilities

  • Assist in development of full-stack web applications
  • Build and enhance frontend and backend components
  • Support development of APIs, workflows, and data processing modules
  • Participate in architecture discussions and technical problem solving
  • Collaborate with engineering leadership and product teams
  • Contribute to testing, debugging, and documentation

Preferred Technical Skills

  • Node.js
  • React
  • Python
  • PostgreSQL
  • REST APIs
  • Basic understanding of AI/Data Analytics concepts
  • Familiarity with Git/GitHub

Preferred Qualifications

  • Pursuing a degree in Computer Science, Software Engineering, Data Science, or related field
  • Strong problem-solving mindset
  • Ability to work independently and collaboratively
  • Interest in scalable enterprise systems and modern web technologies

Additional Requirements

  • Must be a U.S. Citizen
  • Candidates in or around the Washington DC area preferred
  • Available for occasional onsite collaboration sessions
  • Selected candidates will be subject to background verification
Employment Type: Intern