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Databricks Internships Jobs in Berkeley, CA (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 ...

Armanino LLP

Data & AI Platform Engineer

San Ramon, CA · On-site

$128K - $153K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Armaninollp

Data & AI Platform Engineer

San Ramon, CA · On-site

$128K - $153K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Armaninollp

Data & AI Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

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How much do databricks internships jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for databricks internships in Berkeley, CA is $59.67, according to ZipRecruiter salary data. Most workers in this role earn between $52.98 and $70.62 per hour, depending on experience, location, and employer.

What is a Databricks internship?

Databricks internships are structured programs that offer students and recent graduates the opportunity to gain hands-on experience working with data engineering, machine learning, and cloud technologies at Databricks. Interns typically work on real-world projects alongside experienced engineers, data scientists, and business professionals. These internships provide mentorship, training, and networking opportunities, and are a valuable way to learn about the tech industry and Databricks’ culture. They are available in a variety of roles, including software engineering, product management, and data science.

What types of projects and responsibilities can a Databricks intern expect during their internship?

Databricks interns typically work on impactful, real-world projects alongside full-time engineers or data scientists. You may contribute to product features, optimize data pipelines, or help improve machine learning models, depending on your team placement. Interns are encouraged to collaborate cross-functionally, participate in code reviews, and attend team meetings, gaining exposure to agile development practices and cloud technologies. This hands-on experience fosters strong technical growth and provides valuable insight into fast-paced, collaborative tech environments.

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 should have a solid background in computer science, programming (especially Python, Scala, or SQL), and data analytics, often supported by relevant coursework or project experience. Familiarity with big data platforms like Apache Spark, cloud services (AWS, Azure), and version control systems such as Git is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and grow within diverse technical teams. These skills and qualities are crucial for contributing to real-world data projects and maximizing the learning experience during the internship.

What is the difference between Databricks Internships vs Data Engineer Internships?

AspectDatabricks InternshipsData Engineer Internships
Required SkillsKnowledge of Spark, cloud platforms, programming (Python, Scala)Data pipeline development, SQL, cloud services, programming (Python, Java)
Work EnvironmentCollaborative, tech-focused, cloud-based platformsData processing, database management, cloud infrastructure
Industry UsageTech companies using Databricks platformOrganizations managing large-scale data systems

Databricks Internships typically focus on working with the Databricks platform, Spark, and cloud-based data solutions. Data Engineer Internships involve building and maintaining data pipelines, working with databases, and cloud infrastructure. Both roles require programming skills and familiarity with cloud services, but Databricks Internships are more platform-specific, while Data Engineer Internships cover broader data engineering tasks.

How to get a job at Databricks?

To get a job at Databricks, candidates should have strong skills in data engineering, cloud computing, and programming languages like Python or Scala. Relevant experience with big data tools such as Apache Spark and a solid understanding of machine learning concepts can improve chances. Applying through the company's careers page and preparing for technical interviews are essential steps.

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Databricks Internships jobs near you

Staff Data Scientist - Trust and Safety

San Francisco, CA • On-site

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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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