About Databricks
Empowering data teams with unified analytics
Key Highlights
- Headquartered in San Francisco, CA
- Valuation of $43 billion with $3.5 billion raised
- Serves over 7,000 customers including Comcast and Shell
- Utilizes Apache Spark for big data processing
Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...
🎁 Benefits
Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...
🌟 Culture
Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...
Software Engineering • Senior
Skills & Technologies
Overview
Databricks is hiring a Staff Software Engineer - Database Engine Internals to design and implement next-generation database systems. You'll work with technologies like Apache Spark and focus on distributed systems and performance optimization. This position requires 8+ years of experience.
Job Description
Who you are
You have a passion for database systems and distributed systems — your experience spans over 8 years, where you've worked on designing and implementing complex database architectures. You are motivated by delivering customer value and impact, and you thrive in environments where you can work towards a multi-year vision with incremental deliverables. Your expertise includes performance optimization and language design, making you a valuable asset to any engineering team.
You understand the intricacies of query compilation and optimization, and you have hands-on experience with distributed query execution and scheduling. Your knowledge of efficient storage structures, including encodings and indexes, allows you to contribute significantly to the development of next-gen systems. You are also familiar with data security and resource management, which are critical components of modern database systems.
What you'll do
In this role, you will be part of a team dedicated to revolutionizing the data lifecycle from ingestion to advanced analytics. You will design and implement a decoupled query engine that outperforms traditional data warehouses in relational query performance. Your responsibilities will include working on vectorized execution engines and automatic physical data optimization, ensuring that the systems you develop are both efficient and scalable.
You will collaborate closely with cross-functional teams to address major challenges in data staleness, reliability, and total cost of ownership. Your contributions will help shape the future of data architecture, moving towards a unified platform that simplifies the entire data lifecycle. You will also have the opportunity to mentor junior engineers and share your knowledge of best practices in database design and optimization.
What we offer
At Databricks, we believe in fostering a culture of innovation and collaboration. You will have the chance to work with some of the brightest minds in the industry, contributing to projects that have a significant impact on how data is managed and utilized. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to simplify the data lifecycle and transform the way organizations leverage data.
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