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Internship Data Engineer Intern Jobs (NOW HIRING)

Data Engineer Intern

Los Angeles, CA ยท On-site

$123K - $148K/yr

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 ...

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

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 ...

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.

Data Engineer

New York, NY ยท On-site

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ...

Data Engineer

New York, NY

$125K - $150K/yr

... internship, you will explore ways to approach and solve exciting problems within your field of ... As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable ...

Construction Engineer Intern

Lombard, IL ยท On-site

$20 - $30/hr

Job Type Internship Description We are seeking a motivated and detail-oriented Construction ... Perform data collection and analysis for various construction-related tasks, including quantity ...

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... This internship offers hands-on experience in data processing, model development, and AI-driven ...

Develop internal software applications and tools to support R&D data analytics workflows * Build ... Self-motivated, collaborative, and eager to learn in a dynamic environment * 3-month internship ...

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Internship Data Engineer Intern information

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How much do internship data engineer intern jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for internship data engineer intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Data Engineer Intern, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by coursework or projects in computer science or data engineering. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data visualization software is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn quickly. These competencies ensure interns can contribute to data projects, adapt to new technologies, and support data-driven decision-making.

What does a Data Engineer Intern do?

A Data Engineer Intern assists in designing, building, and maintaining the infrastructure needed to collect, store, and analyze data. They typically work with large datasets, helping to ensure data is clean, well-organized, and accessible for analytics or business needs. Interns often collaborate with data scientists and software engineers, learning key skills such as data modeling, ETL (extract, transform, load) processes, and using tools like SQL, Python, and cloud platforms. The role provides hands-on experience in building data pipelines and understanding how data drives decision-making in organizations.

What is the difference between Internship Data Engineer Intern vs Data Engineer?

AspectInternship Data Engineer InternData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or higher in Computer Science, Data Engineering, or related field; often requires experience or certifications
Work EnvironmentInternship setting, supervised, part-time or full-time during studiesFull-time professional role, often in a team managing data pipelines and infrastructure
Employer & Industry UsageUsed by tech companies, startups, and organizations offering training opportunitiesUsed across industries like tech, finance, healthcare, and more for data management and analytics

The Internship Data Engineer Intern position is an entry-level, temporary role designed for students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for building and maintaining data systems. The internship provides foundational exposure, while the Data Engineer role involves ongoing, complex data infrastructure work.

What types of projects and technologies can I expect to work with as a Data Engineer Intern?

As a Data Engineer Intern, you can expect to work on projects involving the development, testing, and maintenance of data pipelines and databases. You'll likely use technologies such as SQL, Python, and cloud platforms like AWS or Azure, depending on the company's stack. Interns often assist with data cleaning, integration, and transforming raw data into usable formats for analytics teams. Collaboration with data scientists, analysts, and senior engineers is common, providing valuable exposure to real-world workflows and teamwork in a data-driven environment.
More about Internship Data Engineer Intern jobs
What cities are hiring for Internship Data Engineer Intern jobs? Cities with the most Internship Data Engineer Intern job openings:
What states have the most Internship Data Engineer Intern jobs? States with the most job openings for Internship Data Engineer Intern jobs include:
Infographic showing various Internship Data Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Data Engineer Intern

Data Engineer Intern

Voxelcloud

Los Angeles, CA โ€ข On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 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.