Senior Software Engineer - Distributed Data Systems

About the role

We are seeking a software engineer to join our Runtime team. Your primary responsibility will be to build the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Responsibilities

• Develop the de facto open source standard framework for big data, such as Apache Spark™.
• Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.
• Work on projects like Delta Lake, a storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming.
• Contribute to Delta Pipelines, a project aimed at simplifying the management and operation of data pipelines.

Requirements

• A 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.
• 5+ 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).

Qualifications

• BS (or higher) in Computer Science, related technical field, or equivalent practical experience.
• 5+ 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).

Skills

• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).
• Strong foundation in algorithms and data structures and their real-world use cases.

Benefits

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Pay

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.

Schedule

Not specified.