As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend, full stack, infrastructure, databases, systems, tools, cloud, and customer-facing products. 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!

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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

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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

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About the company

Databricks

Company overview

Databricks builds a cloud platform used by data teams to run analytics, data engineering, and AI workloads in one place, often described as a “lakehouse” approach. The company sells to enterprises that want to unify data pipelines, BI, and machine learning on major clouds. Databricks is closely associated with Apache Spark’s origins and supports open-source projects used widely in data engineering and ML workflows. The company’s customers range from large enterprises to fast-growing tech companies building data products.

Locations and presence

Databricks is headquartered in San Francisco and lists many offices across the Americas, EMEA, and Asia-Pacific. The company describes a hybrid setup built around weekly “Team Day” in-office time, with most work happening from home, and notes that some roles are fully remote.

Palpable Score

77.5

/ 100

Databricks offers clear, recurring entry points for students and new grads, and the company backs that up with cohort-style roles and explicit mentorship language in early-career job postings. Databricks also publishes candidate-facing guidance on the hiring process and shares pay bands on at least some early-career roles, which is a practical signal of transparency. The main limiter is mixed public candidate and employee feedback on consistency, especially around responsiveness and clarity of progression, and the lack of published early-career outcomes data.

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