Staff Software Engineer - Distributed Data Systems
Databricksover 1 year ago
Base Salary
$192k - $260k/yr
Responsibilities
- Build next-generation distributed data storage and processing systems for diverse workloads ranging from ETL to data science.
- Develop and improve Apache Spark, a large-scale open-source big data framework.
- Deliver reliable, high-performance data-plane storage services and client libraries for cloud storage backends.
- Develop Delta Lake storage management capabilities, including ACID transactions and time travel.
- Build Delta Pipelines functionality for deploying, testing, upgrading, and operating large numbers of data pipelines.
- Develop query optimizers and execution engines that are fast, scalable, tuning-free, and robust.
Requirements
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- Optional MS or PhD in databases or distributed systems.
- 8+ years of production-level experience with 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, including Apache Spark and Hadoop.
- Ability to work toward a multi-year vision with incremental deliverables and focus on customer value.
Benefits
- Comprehensive employee benefits and perks are offered; details vary by region and are available at the Databricks benefits site.
Tech Stack
Categories
BackendData Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.