Senior Software Engineer - Distributed Data Systems
Databricks · Mountain View, CA · Engineering - Pipeline
About this role
Databricks is hiring a senior-level Systems Engineer in the operations function based in Mountain View, CA. The posting calls out experience with Java, Scala, SQL, AWS. Compensation is listed at $166,000–$225,000 per year.
- Role
- Systems Engineer
- Function
- operations
- Level
- senior
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Mountain View, CA
- Department
- Engineering - Pipeline
More roles at Databricks
Job description
from Databricks careersP-59
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building 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.
Below are some example projects:
Apache Spark™: Develop the de facto open source standard framework for big data.
Data Plane Storage: 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.