Note: The job is a remote job and is open to candidates in USA. Databricks is the data and AI company that empowers data teams to solve complex problems. The role involves building next-generation distributed data storage and processing systems that enhance relational query performance while supporting diverse workloads.

Responsibilities

• Building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance
• Providing reliable and high performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends
• Developing a storage management system that combines the scale and cost-efficiency of data lakes with the performance and reliability of a data warehouse
• Making it simple to orchestrate and operate tens of thousands of data pipelines through a higher level abstraction for expressing data pipelines
• Building the next generation query optimizer and execution engine that is fast, tuning free, scalable, and robust

Skills

• BS (or higher) in Computer Science, related technical field or equivalent practical experience
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of production level experience in either Java, Scala or C++
• Strong foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

Benefits

• Eligibility for annual performance bonus
• Equity
• Comprehensive benefits and perks that meet the needs of all of our employees

Company Overview

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