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Internship Data Engineer Intern Jobs in California

Voxelcloud

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 ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · 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 ...

RSS, LLC.

Project Engineer Intern

Sacramento, CA

$17.40 - $23.70/hr

Our Project Engineer Interns assists the Project Team on projects and is the liaison between the ... Basic math skills with ability to calculate and analyze data. * Excellent written and verbal ...

Rex Moore Group, Inc

Project Engineer Intern

Sacramento, CA · On-site

$17.40 - $23.70/hr

Our Project Engineer Interns assists the Project Team on projects and is the liaison between the ... Basic math skills with ability to calculate and analyze data. * Excellent written and verbal ...

Centerfield

Software Engineer Intern

Los Angeles, CA · Hybrid

These APIs will fuel our data engineering and science teams, enabling them to derive valuable ... We provide interns with the skills and tools to be successful as they start their careers.

Ferrotec Usa

Manufacturing Engineer Intern

Livermore, CA · On-site

$19 - $24.50/hr

HOW YOU MAKE AN IMPACT The role of ME Engineer Intern is to partner with other Manufacturing ... A summary report of each week's activities is due on Fridays; a final report of the internship is ...

GSE Construction

Project Engineer Intern

Livermore, CA · On-site

$18.50 - $24.25/hr

We are excited to offer an internship opportunity for a motivated and detail-oriented individual to join our team as a Project Engineer Intern at GSE Construction. This role is perfect for someone ...

GSE Construction

Project Engineer Intern

Escondido, CA · On-site

$17.50 - $22.75/hr

We are excited to offer an internship opportunity for a motivated and detail-oriented individual to join our team as a Project Engineer Intern at GSE Construction. This role is perfect for someone ...

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All JobsData Engineer Intern JobsInternship Data Engineer Intern JobsInternship Data Engineer Intern Jobs in California

Internship Data Engineer Intern information

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 are the key skills and qualifications needed to thrive as a data engineer intern?

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 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.

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.

How to get a data engineer internship?

To secure a data engineer internship, candidates should develop skills in programming languages like Python or Java, gain experience with databases and cloud platforms, and build a portfolio of relevant projects. Applying through company career portals, networking, and obtaining certifications such as Google Cloud or AWS can improve chances. Internships often require a current student status or recent graduation and may involve technical assessments or interviews.

What are popular job titles related to Internship Data Engineer Intern jobs in California?

For Internship Data Engineer Intern jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Data Engineer Intern jobs in California look for?

The top searched job categories for Internship Data Engineer Intern jobs in California are:

What cities in California are hiring for Internship Data Engineer Intern jobs?

Cities in California with the most Internship Data Engineer Intern job openings:

Internship Data Engineer Intern jobs near you
Infographic showing various Internship Data Engineer Intern job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer Intern

Voxelcloud

Los Angeles, CA

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 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