Data Engineer at Databricks
4 days ago
About Us
Databricks is a leader in the field of data and AI, empowering organizations to solve complex problems by leveraging deep data insights.
We are passionate about enabling data teams to make a meaningful impact, from developing innovative transportation systems to driving medical breakthroughs. Our goal is to provide the best data and AI infrastructure platform for our customers to succeed.
At Databricks, we value engineering expertise and customer obsession, which drives us to tackle challenging technical issues, such as designing intuitive interfaces and scaling services across vast virtual machine networks.
Job Description
This software engineer position will focus on building backend infrastructure for the Databricks platform, working closely with the team to create scalable solutions.
- Create foundational infrastructure platforms that enable seamless operation across multiple regions and cloud providers, supporting Databricks' growth.
- Develop cloud-agnostic infrastructure abstractions to facilitate efficient management and operation of services.
- Design tools and processes that enhance engineering efficiency, improving the developer experience in areas like programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Currently, our focus is on optimizing the Rust development experience.
Requirements
To be successful in this role, you should have:
- A minimum of 2 years of professional software development experience or a PhD degree.
- A Bachelor's degree or higher in Computer Science or a related field, or equivalent experience.
- Proficiency in one or more backend languages, such as Java, Scala, or Go.
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