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Big Data Intern Jobs in Reston, VA (NOW HIRING)

Everforth ECS is seeking a Junior Software Engineer Intern to work in our Fairfax, VA office for ... Big Data/Cloud Solutions. The candidate works closely with the Project Manager and technical team ...

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Big Data Intern information

See Reston, VA salary details

$9

$17

$25

How much do big data intern jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for big data intern in Reston, VA is $17.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.00 per hour, depending on experience, location, and employer.

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

AspectBig Data InternData Analyst Intern
Required SkillsBasic knowledge of big data tools (Hadoop, Spark), programming (Python, SQL)Data analysis, visualization, SQL, Excel
Work EnvironmentData engineering teams, big data platformsBusiness intelligence teams, data reporting
Industry UsageTech, finance, healthcare with large datasetsRetail, marketing, finance for data insights

Big Data Interns focus on working with large-scale data processing tools and platforms, often in engineering environments. Data Analyst Interns primarily analyze and visualize data to support business decisions. Both roles require some programming and data skills but differ in their focus and tools used.

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

To thrive as a Big Data Intern, you typically need foundational knowledge in computer science, statistics, and data analysis, often supported by coursework or relevant academic projects. Familiarity with programming languages such as Python or Java, data processing tools like Hadoop or Spark, and experience with databases are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out when collaborating on projects and interpreting data insights. These skills are crucial for efficiently analyzing large datasets, contributing to team objectives, and developing practical solutions to real-world data challenges.

What kinds of projects and tasks can I expect to work on as a Big Data Intern?

As a Big Data Intern, you’ll typically assist with collecting, cleaning, and analyzing large datasets using tools like Hadoop, Spark, or SQL. You may support building data pipelines, performing exploratory data analysis, and visualizing insights to help teams make data-driven decisions. Interns often collaborate closely with data engineers, analysts, and other team members, gaining exposure to real-world data challenges and agile project workflows. These experiences provide valuable technical skills and networking opportunities that can lead to full-time roles after graduation.

What does a Big Data Intern do?

A Big Data Intern assists data engineering and analytics teams by helping to collect, process, and analyze large-scale datasets. They often support tasks such as data cleaning, running queries, working with big data tools like Hadoop or Spark, and creating basic reports or visualizations. This role provides hands-on experience with real-world data challenges and helps interns develop technical skills in big data technologies. Interns may also participate in team meetings, contribute to ongoing projects, and learn best practices in data security and management.
AI Systems and Automation Intern

AI Systems and Automation Intern

Toffler Associates

Arlington, VA • Hybrid

$20/hr

Other

Posted 20 days ago


Job description

AI Systems and Automation Intern

Toffler Associates is a future-focused strategic advisory firm that works with both government and commercial clients. Our Future Proof® business consulting approach makes us unique in the industry, helping global leaders understand how future shifts impact current decisions and empowering them to take advantage of opportunities, manage risk, and create value.

Our firm is seeking an AI Systems & Automation Intern to join our growing team. This person will be supporting strategic client projects, including those in the Aerospace and Defense, Energy and Utilities industries and various defense and civilian federal government agencies.

This role is hybrid and would require that you be in the office a few days a week.

This role starts in May and ends on August 21st (end date can be adjusted to meet school schedule)

This is a paid internship - $20.00/hour

Responsibilities:

  • Develop AI-enabled workflows, copilots, and applications using modern AI platforms and APIs
  • Assist in managing and organizing structured and unstructured data for AI applications and retrieval systems
  • Work with CEO and Director of Operations to identify opportunities to automate business overhead and operational processes
  • Prototype rapidly, iterate continuously, and translate concepts into functional applications
  • Support data governance, permissions management, and secure AI deployment practices
  • Collaborate across teams to translate foresight, strategy, and operational needs into practical AI-enabled solutions

Basic Qualifications:

  • Problem-Solving: Strong analytical thinking and problem-solving skills to troubleshoot and optimize models
  • Communication Skills: Ability to clearly communicate findings, challenges, and solutions to team members
  • Technical Skills: Familiarity with cloud platforms (AWS, Google Cloud), big data technologies (Hadoop, Spark), and version control systems (Git) is beneficial
  • Enrollment in or recent completion of a degree in Computer Science, Data Science, Engineering, or a related field
  • Previous coursework or projects related to machine learning or AI is a plus
  • Must be legally authorized to work in the United States without VISA sponsorship now or in the future

Toffler Associates, Inc. complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.