Staff Software Engineer - Distributed Data Systems
Databricksover 1 year ago
Base Salary
$192k - $260k/yr
Responsibilities
- Build distributed data storage and processing systems for diverse workloads ranging from ETL to data science.
- Develop and improve Apache Spark, cloud storage services and client libraries, Delta Lake, Delta Pipelines, query optimizers, and execution engines.
- Design software that provides high performance, scalability, resilience, and reliability across cloud hardware, networks, and operating systems.
- Help operate a large-scale platform processing exabytes of data per day across millions of virtual machines.
- Deliver incremental improvements toward a multi-year technical vision.
Requirements
- Bachelor’s degree in computer science or a related technical field, or equivalent practical experience.
- 8+ years of production-level experience in Java, Scala, or C++.
- Strong foundation in algorithms and data structures and their real-world applications.
- Experience with distributed systems, databases, and big data systems such as Apache Spark and Hadoop.
- Optional master’s or PhD in databases or distributed systems.
- Ability to work toward a multi-year vision with incremental deliverables.
- Motivation to deliver customer value and impact.
Benefits
- Comprehensive employee benefits and perks, with region-specific details available through the benefits portal.
Tech Stack
Categories
BackendData Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).