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Databricks Internships Jobs (NOW HIRING)

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. • Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI. • ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. • Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI. • ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale. • Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI. • ...

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Databricks Internships information

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$27

$48

$65

How much do databricks internships jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for databricks internships in the United States is $48.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $57.69 per hour, depending on experience, location, and employer.

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.

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 types of projects and responsibilities can Databricks interns expect to work on 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 Databricks internships?

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.
More about Databricks Internships jobs
What cities are hiring for Databricks Internships jobs? Cities with the most Databricks Internships job openings:
What states have the most Databricks Internships jobs? States with the most job openings for Databricks Internships jobs include:
Infographic showing various Databricks Internships job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 93% Full Time, 1% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $101,369 per year, or $48.7 per hour.

Product Management Intern (Summer 2027)

Databricks

Bellevue, WA • On-site

$54 - $56/hr

Other

Posted 15 days ago


Job description

P-982

At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

As a ProductManagementIntern,you willjoin ateam that works diligently to understand and solve our customers' most challenging problemsYou will learn how to be a successful PM at a high-growth enterprise technology company that operates at theimportantintersection of data and AI. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog,Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company.

This is a 12 week paid summer internship program in either San Francisco, CA, Mountain View, CA, or Bellevue, WA.

The impact you will have:

  • Deeply understand customer problem space and establish the rails for viable solution space
  • Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
  • Work with engineers and designers to ship features on the Databricks platform
  • Own your project end-to-end - design, build, launch, and iterate on feedback
  • Build with scale, quality, and security in mind from day one

What we look for:

  • Pursuing a bachelor's or master's in computer science or a related engineering field graduating in Fall 2027 or Spring 2028
  • You've used AI tooling for both personal productivity and development projects
  • You have some first hand experience with SQL and/or Python
  • You're hands-on and learn by doing - happy to build, test, and iterate your way to an answer
  • You use analytical skills to make data-driven decisions (e.g. analyzing product usage)
  • You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form
  • You're excited to solve ambiguous problems with a collaborative team
  • You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched

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

$54 - $56 USD

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 anticpates 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 .

Bellevue, Washington Hourly Rate

$51.50 - $53.50 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 click here .

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.