Staff Software Engineer - Distributed Data Systems
Databricks2 months ago
Base Salary
$182k - $247k/yr
Responsibilities
- Build next-generation distributed data storage and processing systems for ETL, data science, and other workloads.
- Develop and improve Apache Spark and large-scale big data processing capabilities.
- Build reliable, high-performance storage services and client libraries for cloud storage backends such as AWS S3 and Azure Blob Store.
- Develop Delta Lake storage management capabilities, including scalable data lake, warehouse, and streaming abstractions.
- Improve Delta Pipelines for orchestrating, deploying, testing, and upgrading tens of thousands of data pipelines.
- Build query optimizers and execution engines focused on performance, scalability, and robustness.
- Work toward a multi-year technical vision while delivering incremental improvements and customer value.
Requirements
- Bachelor’s degree or higher in Computer Science or a related technical field, or equivalent practical experience.
- 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.
- Motivation to deliver customer value and impact.
Benefits
- Databricks provides comprehensive benefits and perks, with specific offerings varying by region.
- The total compensation package may include an annual performance bonus, equity, and benefits.
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.