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Databricks Internship Jobs in California (NOW HIRING)

Prime Intellect

Internship

San Francisco, CA · On-site

... Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking ... We're looking for exceptional interns who've already built real systems, contributed to open-source ...

Cumming Group

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

... internships or academic projects acceptable). * Strong knowledge of SQL and experience querying large datasets. * Familiarity with Apache Spark or Databricks. * Basic experience with Python or ...

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Databricks Internship information

What is the highest paying summer internship?

The highest paying summer internships are typically in finance, technology, and consulting industries, with some offering compensation exceeding $10,000 for the season. For roles like a Databricks internship, pay varies based on location, experience, and skill level, but competitive internships often include stipends or hourly wages aligned with industry standards.

Does Databricks hire interns?

Yes, Databricks offers internship programs for students and recent graduates interested in data engineering, software development, and related fields. Internships typically involve working on real projects using tools like Apache Spark and require a strong technical background and relevant coursework. These programs are usually available during summer and sometimes throughout the year, providing valuable industry experience.

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

To thrive as a Databricks Intern, you typically need a solid foundation in computer science, data engineering, or a related field, along with strong programming skills in languages like Python, SQL, or Scala. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and data analytics tools is commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset help interns excel in dynamic, team-oriented environments. Mastering these skills enables effective contribution to real-world data projects, supporting innovation and business impact at Databricks.

How much do Databricks interns get paid?

Databricks interns typically receive a stipend or hourly pay that varies depending on location, experience, and the specific internship program. Intern salaries for tech companies generally range from $20 to $40 per hour, with some programs offering additional benefits or stipends for housing and transportation.

Is Databricks a high paying job?

A Databricks internship typically offers competitive compensation compared to other tech internships, with pay varying based on location, experience, and skills. Interns working with cloud platforms, data engineering, or machine learning tools may also receive additional benefits or stipends. Overall, it is considered a well-paying internship opportunity within the tech industry.

What types of projects do Databricks interns typically work on, and how are they integrated into existing teams?

Databricks interns are usually assigned to real-world projects that align with the company's current priorities, such as developing new data analytics features, optimizing cloud infrastructure, or contributing to open-source initiatives like Apache Spark. Interns are integrated into agile engineering or data science teams, where they participate in daily stand-ups, code reviews, and collaborative problem-solving sessions. This structure ensures that interns gain hands-on experience, receive mentorship from experienced professionals, and have opportunities to present their work, making the internship both impactful and a strong learning experience.

What is a Databricks internship?

A Databricks internship is a temporary position offered to students or recent graduates to gain hands-on experience working with Databricks, a company specializing in data analytics and artificial intelligence. Interns typically work on real-world projects involving big data, cloud computing, and collaborative analytics using the Databricks Unified Analytics Platform. The internship provides opportunities to learn from industry experts, develop technical skills, and contribute to innovative solutions. Interns also gain exposure to Databricks' company culture and may have the opportunity to transition to a full-time role after completion.
What are the most commonly searched types of Databricks jobs in California? The most popular types of Databricks jobs in California are:
What are popular job titles related to Databricks Internship jobs in California? For Databricks Internship jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Databricks Internship jobs? Cities in California with the most Databricks Internship job openings:
Databricks Internship jobs near you
Infographic showing various Databricks Internship job openings in California as of July 2026, with employment types broken down into 10% As Needed, 83% Full Time, 4% Part Time, and 3% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Staff Data Scientist - Trust and Safety

Staff Data Scientist - Trust and Safety

Databricks

San Francisco, CA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Databricks is building the world's best and most secure platform for data and AI, focusing on security, compliance, and governance. As a Staff Data Scientist on the Trust and Safety team, you will develop machine learning models to detect anomalous activity and collaborate with various teams to enhance the security of Databricks' platform.
Responsibilities:
• You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.
• You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
• You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.
• You will create solutions and frameworks to meet compliance requirements at Databricks
• You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
• You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
• You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
• You will represent Databricks at academic and industrial conferences and events.
Qualifications:
Required:
• 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
• Understanding of good software engineering practices around testing, code reviews, and deployment.
• Experience working in a highly cross functional alignment and talking about results to non-technical partners.
• Experience deploying Data Science / ML solutions in production to achieve results.
• Coding skills in SQL and a software development language (preferably Python)
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
• Masters or higher in quantitative fields or equivalent experience in industry
Preferred:
• Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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