Senior Software Engineer - Distributed Data Systems

Cacheflow; San Francisco (CA); On-site; USD 166,000 - 225,000; Full time

Job summary

Databricks, the data and AI company, is seeking a software engineer for the Runtime team in San Francisco. You will build next‑gen distributed data storage and processing systems that outperform conventional SQL engines while supporting ETL, data science, and diverse workloads.

You should have 5+ years in Java, Scala, or C++, and a strong foundation in algorithms and distributed systems. A BS in CS or a related field is required.

Qualifications

• BS in Computer Science or related field.
• 5+ years of production level experience in Java, Scala or C++.
• Strong foundation in algorithms and data structures.
• Experience with distributed systems, databases and big data systems.

Responsibilities

• Build and optimize distributed data storage and processing systems to outperform traditional SQL engines.
• Contribute to the design and implementation of data infrastructure supporting ETL and data science workloads.

Skills

Java

Scala

C++

Distributed systems

Databases

Big data

Education

BS in Computer Science

Tools

Apache Spark

Hadoop

Job description

Databricks, the data and AI company, is seeking a software engineer for the Runtime team in San Francisco. You will build next‑gen distributed data storage and processing systems that outperform conventional SQL engines while supporting ETL, data science, and diverse workloads.

You should have 5+ years in Java, Scala, or C++, and a strong foundation in algorithms and distributed systems. A BS in CS or a related field is required.