YOUR NEXT OPPORTUNITY
Software Engineering Intern (2027 Start) – Belgrade
Databricks
Employer posted: September 27, 2024. Source checked: October 11, 2026 7:10 am. Availability and final application requirements are confirmed on the employer’s site.
Source: Databricks — company careers. WorkerEra lists this opportunity from an external source; confirm current details with the employer.
About this opportunity
P-1340
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 Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We’re hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you’ll connect with engineers, other interns, and leaders from across the company.
We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you’re most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days.
The impact you will have:
- Work with a team to build features for the Databricks platform
- Manage your project end-to-end, including design, code, and feedback
- Learn about building a platform that scales quickly while maintaining quality and security
What we look for:
- You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject
- You have implementation skills with a general purpose program language, such as Python, Java, or C++
- You have good knowledge of algorithms, data structures, and OOP principles
- You are excited to solve ambiguous problems with a collaborative team
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
Imported source listing. Details are supplied by the source and have not been independently verified by WorkerEra. Confirm the current vacancy on the employer’s page.
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- Read the linked employer announcement and compare its requirements with your experience.
- Tailor your CV to responsibilities and skills actually listed by the employer.
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- Salary was not supplied in the listing fields; ask the employer about compensation.
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