refresh

Trending Companies

Trending

Jobs

JobsDatabricks

Legal Intern

Databricks

Legal Intern

Databricks

Mountain View, California; San Francisco, California

·

On-site

·

Full-time

·

1mo ago

Compensation

$83,200 - $83,200

Benefits & Perks

Comprehensive health, dental, and vision insurance

Professional development budget

Generous paid time off and holidays

401(k) matching

Healthcare

Learning

Required Skills

PostgreSQL

Python

React

GAQ227R1

Work at the nexus of law and innovation with a recognized global leader in Data and AI. As a Databricks Legal Intern, you won’t just observe, you’ll jump straight into novel legal issues working alongside our high-impact global legal team. You will gain first-hand experience on how an in-house legal department drives business strategy and tackles complex challenges on a daily basis, and navigate cutting-edge legal landscape of generative AI, cloud computing, and big data. Databricks will encourage you to get out of your comfort zone and provide the resources, mentoring, and feedback you need to grow your legal skills and career.

This is a hybrid, in-person position located in our San Francisco and Mountain View offices. The position offers exposure to a variety of legal practice areas and allows for potential deep dives of areas including: Commercial and Go-to-Market, ational skills, along with a strong foundation in advocacy and judgment

  • High-level legal drafting skills that is consistent with current legal education and experience

  • A desire to be part of a dynamic legal team supporting the recognized leader in processing big data in the cloud

  • Prior background or strong interest in technology, data analytics and Artificial Intelligence (preferred but not required)

Additional Program Details:

  • Internship program starts on June 8, 2026 and ends August 7, 2026

  • Position is full-time (40 hours per week)

  • This is a hybrid, in-person role, requiring a minimum of three days per week in our San Francisco or Mountain View offices

  • Applications will be accepted on a rolling basis through mid- to late- February; interviews may begin as early as mid-January

  • Application packages should include: resume, law school transcript, undergraduate transcript, law school writing sample, and a cover letter describing why you are interested in Databricks and this program

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

SF Bay Area Hourly Rate**$40**—$40 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge