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Data Wrangler Intern Jobs (NOW HIRING)

Midtronics

Data & AI Engineer Intern

Willowbrook, IL

$30 - $35/hr

AI Engineer Intern Willowbrook, IL $30 - $35 About Midtronics Midtronics is the global leader in ... AI Engineer who can move fluidly between building AI-powered tools, wrangling messy enterprise data ...

Midtronics

Data & AI Engineer Intern

Willowbrook, IL · On-site

$113K - $136K/yr

Data & AI Engineer Intern Willowbrook, IL $30 - $35 About Midtronics Midtronics is the global ... wrangling messy enterprise data, designing compelling dashboards, and sitting in a room with ...

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Data Wrangler Intern information

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How much do data wrangler intern jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data wrangler intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as a Data Wrangler Intern, you need a solid understanding of data analysis, data cleaning, and basic programming skills, often supported by coursework in statistics, computer science, or related fields. Familiarity with tools such as Python, SQL, Excel, and data visualization libraries is typically required. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills ensure data integrity and enable accurate preparation of datasets for meaningful analysis in data-driven projects.

What are some typical challenges a Data Wrangler Intern might face when cleaning and organizing large datasets?

As a Data Wrangler Intern, you may encounter challenges such as dealing with incomplete, inconsistent, or duplicated data, as well as integrating information from multiple sources with varying formats. Ensuring data quality while meeting tight project deadlines can be demanding, especially when collaborating with analysts or data scientists who rely on your work. Developing strong attention to detail and learning to use data processing tools efficiently will help you overcome these obstacles and contribute effectively to your team.

What are Data Wrangler Interns?

Data Wrangler Interns are entry-level professionals who assist in collecting, cleaning, and organizing raw data so it can be easily analyzed by data scientists or analysts. They help transform messy or unstructured data into a usable format, ensuring data quality and consistency. Typical tasks may include handling missing values, correcting inconsistencies, and merging data from various sources. This role provides valuable hands-on experience with data manipulation tools and prepares interns for advanced data roles.

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

AspectData Wrangler InternData Analyst Intern
Required SkillsData cleaning, basic scripting, database managementData analysis, statistical skills, visualization
Work EnvironmentData preparation, database work, scriptingData interpretation, reporting, visualization
Common EmployersTech companies, startups, data-focused firmsBusiness, finance, marketing sectors

The Data Wrangler Intern primarily focuses on cleaning, organizing, and preparing raw data for analysis, often working with databases and scripting. In contrast, the Data Analyst Intern interprets data, creates reports, and visualizes insights. Both roles require some technical skills, but Data Wrangler Interns are more involved in data preparation, while Data Analyst Interns focus on deriving insights from data.

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Data Wrangler Intern jobs near you
Infographic showing various Data Wrangler Intern job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 91% Physical, 5% Hybrid, and 4% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
AI Engineering Intern-38031

AI Engineering Intern-38031

Harvard Maintenance, Inc

Miami, FL

$16 - $20.75/hr

Temporary

Posted 5 days ago

Harvard Maintenance rating

7.2

Company rating: 7.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

5th of 56 rated cleaning companies

Job description

Are you ready to be part of something Extraordinary? Look no further than Harvard is the largest family-owned provider of premier commercial janitorial and professional security services in the United States. We believe in the power of our people. Here, every team member is valued, empowered, and trained to contribute their best. We foster an inclusive workplace culture where diversity is celebrated and every voice matters.

A day in the life:

Harvard Maintenance is investing in data and AI to modernize how we deliver service across our national operations. Our AI Team is building the analytics, workflows, and tools that help our operators, supervisors, and back-office teams work smarter — from how operational performance is measured and reported, to how we surface insights from our work order and financial data, to how we use AI to accelerate the analytics we deliver to the business and to our clients.

We are looking for an AI Engineering Intern to join the team and work directly with the AI Solutions Architect on real initiatives that touch the business. This is a hands-on, data-centric internship: you will write Python scripts, work with operational and financial data, build dashboards and analytical models, and learn how AI is applied to accelerate analytics work in an enterprise environment.


What You Will Work On

Your projects will be drawn from our active data and AI roadmap and matched to your skills. Expect to spend the majority of your time on data and analytics work, with meaningful exposure to AI engineering on top of that foundation:

  • Operational data analytics — Work hands-on with our operational data (work orders, labor, schedules, financials) to answer real business questions. Build queries, transformations, and analyses that go directly to operations leaders and finance partners.
  • Dashboards and reporting — Design and build dashboards and recurring reports in Power BI. Translate stakeholder requirements into clear, well-modeled, performant visualizations.
  • Data modeling and pipelines — Help shape how we structure operational and financial data for analytics. Contribute to data models, transformations, and lightweight pipelines that feed reporting and AI use cases.
  • AI-augmented analytics — Build LLM-driven workflows that accelerate analytics work: automated data summaries, natural-language querying of operational data, document understanding (contracts, specs, inspection reports), and assistants that help internal teams self-serve information.
  • Agentic workflows and AI tooling — Learn alongside the team how to use modern AI engineering tools (Claude Code, Codex, MCP-based integrations) to ship analytical work and prototypes faster and more reliably.
  • Deployment and integration — Help take analytical prototypes from concept to a deployed internal service or scheduled job: basic CI/CD, APIs, and integration with existing platforms.
  • Data governance and security — Learn how analytics and AI get built responsibly inside a corporate environment: secure handling of operational and financial data, access controls, and alignment with our security and compliance requirements.
What You Will Get
  • Direct mentorship from the AI Solutions Architect, with real ownership of analytical work that touches the business.
  • Exposure to how data and AI are adopted inside a large, established services company — not a hypothetical exercise, but a real transformation in motion.
  • Hands-on training in modern analytics and AI engineering practices: SQL, Python, dashboarding, agentic coding, evaluation, and production deployment.
  • Competitive paid internship.
  • Strong consideration for a full-time analyst, data engineering, or AI engineering role for high-performing interns.

What We Are Looking For

You are a current undergraduate or graduate student pursuing one of the following (or a closely related field):

  • Data Analytics
  • Data Science / Statistics
  • Computer Science / Software Engineering
  • Cybersecurity
  • Business Analytics / Management Information Systems

You should bring most of the following:

  • Part-time availability — Availability to work approximately 25 hours per week.
  • Strong SQL — Comfortable writing complex queries, joins, aggregations, window functions, and CTEs. Able to reason about query performance on large tables.
  • Solid Python — Specifically for data work: pandas, basic data wrangling, and reading/writing common data formats.
  • Analytical mindset — You can take an ambiguous business question, break it down, and figure out what data and what analysis would actually answer it.
  • Dashboarding exposure — Coursework, internships, or personal projects using Power BI, Tableau, Looker, or a similar tool.
  • Curiosity about LLMs and AI tools — You have built something with the OpenAI or Anthropic API, experimented with retrieval-augmented generation, written prompts that do useful work, or tried an agent framework. You do not need to have trained a model from scratch.
  • Git fundamentals — Branching, pull requests, and working in a real shared codebase.
  • Clear written communication — You can explain your analysis to people who are not engineers or data scientists.
  • Professional maturity — You will be working with operational and financial data from a real business. Discretion, reliability, and attention to detail matter.
Nice to Have (Not Required)
  • Exposure to data warehouses or analytical databases (Snowflake, BigQuery, Redshift, Synapse, or SQL Server).
  • Experience with dbt, Airflow, or similar transformation and orchestration tools.
  • Familiarity with statistical methods: hypothesis testing, regression, basic forecasting.
  • Exposure to LangChain, LlamaIndex, or similar AI orchestration frameworks.
  • Coursework or projects in cybersecurity, identity, or cloud security.
  • Background in facilities, services, or any operational/industrial context.

Join our team of Extraordinary People committed to delivering Exceptional Service. Together, we'll redefine industry standards and create a workplace where your talent thrives. Discover your potential with Harvard Maintenance. This is a paid internship opportunity designed to provide hands-on experience and professional development. Learn more about our company and culture, apply today and be part of something extraordinary.

An Equal Opportunity Employer --- M/F/D/V


USD $20.00/Hr.

What Harvard Maintenance employees say

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About Harvard Maintenance

Sourced by ZipRecruiter

The Harvard Companies provide important building services to thousands of clients across the business community. Harvard Maintenance and Harvard Protection Services are two of the largest and fastest growing, privately owned providers of high quality janitorial and security services in the United States. We are an industry leader and are well known for our innovative thinking and entrepreneurial spirit. Our success over the last fifty years stems from Harvard's Inverted Pyramid®, which recognizes that our front-line employees are the most important people in our organization. The Inverted Pyramid® ensures that our employees feel valued, are given the tools to be successful, and are empowered to execute in their roles. People are also at the center of our Core Values. Our People First core value clearly states that "we are a family organization that promotes respect and embraces diversity".

Industry

Facilities support services

Company size

5,001 - 10,000 Employees

Headquarters location

Miami, FL, US

Year founded

1961

Social media

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