Staff Software Engineer - Distributed Data Systems
Posted
$192,000 USD
Tech Stack
Responsibilities
- 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.
- Develop the de facto open source standard framework for big data with Apache Spark™.
- Deliver 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.
- Simplify the complexity of real-world data engineering architecture with Delta Lake by providing higher level abstractions and guarantees, including ACID transactions and time travel.
- Make it simple to orchestrate and operate tens of thousands of data pipelines with Delta Pipelines, enabling customers to deploy, test & upgrade pipelines and eliminate operational burdens.
Benefits
- Equity
- Health Insurance
Culture
Mission-DrivenCustomer-ObsessedOpen Source ValuesInclusive HiringDiversity
Requirements
Required: BS in Computer Science, related technical field or equivalent practical experience
Preferred: MS or PhD in databases, distributed systems
Get jobs like this in your inbox
Weekly AWS, Azure, Express hiring trends and salary data — free.
Join 6 engineers getting weekly insights
Get market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Databricks
Industry: saas
Size: large
Databricks is a data and AI company that builds and operates the world’s best data and AI infrastructure platform, enabling data teams to turn deep data insights into business impact.
View company profile →Compensation
Base salary: $192,000 USD
Equity: equity
Bonus: eligibility for annual performance bonus