Staff Software Engineer (L6) - Distributed Data Systems
Databricks7 hours ago
Amsterdam, NetherlandsStaff+
Responsibilities
- Build the next generation of distributed data storage and processing systems.
- Improve relational query performance while supporting expressive programming abstractions and diverse workloads.
- Work toward a multi-year technical vision through incremental deliverables.
- Deliver customer value and measurable product impact.
Requirements
- Bachelor’s degree or higher in computer science, 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.
- Experience with Apache Spark and Hadoop.
- Ability to work toward a multi-year vision with incremental deliverables.
Benefits
- Databricks offers comprehensive benefits and perks, with details varying by region.
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.