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Databricks Internship Jobs in California (NOW HIRING)

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5K - $7K/mo

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Joby Aviation

Software Engineering Intern

San Carlos, CA · On-site

$5K - $7K/mo

Expect an internship that resembles a job you would have after graduating. * Build and ship ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

Joby Aviation

Software Engineering Intern

San Carlos, CA

$5K - $7K/mo

Expect an internship that resembles a job you would have after graduating. Responsibilities * Build ... Experience with Python and FastAPI, building ETL or data pipelines on Databricks, or working with ...

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Databricks Internship information

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 and level of experience, with many internships offering competitive compensation aligned with industry standards. Interns often work on real projects using tools like Apache Spark and Databricks platform, gaining valuable skills during the program.

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 big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide opportunities in audit, consulting, advisory, and tax services, often targeting students pursuing degrees in accounting, finance, or related fields, and may lead to full-time roles within these firms.
What are the most commonly searched types of Databricks jobs in California? The most popular types of Databricks jobs in California 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 June 2026, with employment types broken down into 25% Internship, 69% Full Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution.
Staff Data Scientist - Trust and Safety

Staff Data Scientist - Trust and Safety

Databricks

San Francisco, CA • On-site

Other

Posted 13 days ago

Job description

RDQ426R282
Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. 

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.

Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We're looking to expand our Trust and Safety Data Science team. You will join a group of "full stack" data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.

More information is available at https://www.databricks.com/trust.

The impact you will have:

  • 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.

What we look for:

  • 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.
  • Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
  • Masters or higher in quantitative fields or equivalent experience in industry

Apply