P-1341
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. Founded by engineers and dedicated to our customers, we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for working with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. You will join a cohort of engineers who will build their careers through collaborative projects and learning opportunities. With a dedicated mentor and supportive team, you'll onboard quickly and start contributing to impactful projects soon after starting here at Databricks!
The impact you will have:
- Work with a team to build features and improve architecture for the Databricks platform
- Develop and extend the Databricks product
- Own full software development lifecycle: design, development, testing, and operating in production
- Build solutions with a high level of reliability, scalability, and security
What we look for:
- You will graduate between fall 2025 and summer 2026 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 knowledge of algorithms, data structures, and OOP principles
- You have experience managing end-to-end projects
We are hiring Software Engineer - New Grads across multiple offices. Please apply for the single location that you're the 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.
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.
Skills Required
- Graduation between fall 2025 and summer 2026 with a degree in Computer Science, Engineering, or related subject
- Implementation skills with a general purpose programming language, such as Python, Java, or C++
- Knowledge of algorithms, data structures, and OOP principles
- Experience managing end-to-end projects
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
