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Internship Data Engineer Intern Jobs in California

KASTLE

Software Engineer - Intern

San Francisco, CA · On-site

About the Role We're looking for a Software Engineer Intern who is excited to build products that ... Experience building personal projects, coursework, hackathon projects, or previous internships.

Posted today

SkyGig

RFIC Design Intern

San Jose, CA · On-site

This internship is ideal for a student with strong fundamentals in analog/RF circuit design who ... Responsibilities As an RFIC Design Engineer Intern, you will: * Assist with the design and ...

Brilent

Software Engineer Intern

San Mateo, CA · On-site

We are building the next-generation, big data talent platform that aims to revolutionize the hiring ... As a software engineering intern, you will work alongside our small team of engineers to create new ...

SkyGig

RFIC Design Intern

San Jose, CA

This internship is ideal for a student with strong fundamentals in analog/RF circuit design who ... Responsibilities As an RFIC Design Engineer Intern, you will: * Assist with the design and ...

Heirloom Carbon

Mechanical Engineer Intern

Brisbane, CA · On-site

$34/hr

Hands-on experience building things (lab work, shop experience, project teams, internships ... Engineering testing methodology; ability to design experiments and collect data * Self-starter ...

New

Droyd Robotics

Mechanical Engineer Intern

San Francisco, CA · On-site

$22 - $29.75/hr

On-site in San Francisco, CA * Part-time or full-time internship, balanced with school commitments ... We design the hardware, develop the control stack, and generate the data that enables generalist ...

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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 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 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.
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Software Engineer Intern (Fall '24)

Deductive AI

Mountain View, CA • On-site

Full-time

Re-posted 18 hours ago

Job description

Company Description
Deductive AI is building the world's first real-time reasoning engine that can help root cause and mitigate large-scale software outages by reasoning about distributed systems, code, and statistical anomalies in real-time across unprecedented volumes of telemetry data (metrics, logs, traces, and events). Our team has decades of experience in building and maintaining large-scale production systems at Databricks, Facebook, Thoughtspot, Google, Splunk, and Amazon. As a company, we are extremely well-funded by some of the top VCs in the valley and are fortunate to have the backing of stellar investors and advisors.
Role Description
We are seeking interns for the fall 2024 season. This is a paid, on-site internship role at Deductive AI located in Mountain View, CA. As a Software Engineering Intern at Deductive AI, you will be building the next generation of foundational code and data processing systems that can reason on extremely large amounts of structured and unstructured data. This role involves deep technical challenges where you will be working on solving some very interesting problems at the intersection of AI, code understanding, and data analytics.
Qualifications:
  • Enrolled in a Bachelor's, Master's, or PhD program in Computer Science, or a related technical field, with a strong academic record.
  • Strong foundation in computer science with competencies in data structures, algorithms, and system design.
  • Familiarity with advanced programming languages such as Java, Scala, Python, Javascript or C++, with a strong grasp of algorithm optimization.
  • Familiarity with machine learning frameworks and libraries, and a keen interest in applying ML techniques to real-world problems.
  • Previous experience or knowledge of code and observability tools, real-time analytics, and large-scale system design is highly desirable.
  • Strong analytical and problem-solving skills, and attention to detail.

What We Offer:
  • Hands-on experience in a fast-growing startup with a disruptive product.
  • Direct mentorship from highly experienced engineers and interaction with our renowned advisors and investors.
  • A collaborative, inclusive, and dynamic work environment.
  • Competitive compensation and potential for full-time opportunities.
  • Opportunities to attend, publish, and speak at leading academic and industry conferences

Apply