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Data Wrangler Intern Jobs (NOW HIRING)

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our ...

Cotiviti

$20 - $26/hr

... everything from data wrangling and feature engineering to model evaluation and lightweight ... intern compensation Cognitive/Mental Requirements: * Communicating with others to exchange ...

Cotiviti

Temporary Intern - Data Scientist

$20 - $26/hr

... everything from data wrangling and feature engineering to model evaluation and lightweight ... intern compensation Cognitive/Mental Requirements: * Communicating with others to exchange ...

The Weather Company

Finance Analyst Intern

Atlanta, GA · On-site

Job brief: We're looking for a Business Analyst Intern to join our talented Finance team supporting ... Experience with SQL and can wrangle data, utilizing other languages such as Python if necessary.

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.
Data Engineer Intern

Data Engineer Intern

Voxelcloud

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Job Description
The Data team at VoxelCloud (Westwood, Los Angeles, CA) manages and maintains large-scale medical and healthcare data at the core of all our R&D activities. Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud storage. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent across ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Responsibilities:
  • Create and maintain optimal data pipelines to support machine learning research and development
  • Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency.
  • Keep our data separated and secure across national boundaries both locally and on cloud storage.

Qualifications
  • Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres).
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Solid understanding of information retrieval, statistics and machine learning. Experience with Computer Vision and NLP is a plus.
  • Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system.
  • Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Skillful with automation tasks, but willing to get hands dirty for quality control.
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • MS, BA/BS degree in computer science, statistics or related field.

Additional Information
We Offer...
  • An outstanding start-up culture;
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.

Apply