Senior Software Engineer - Distributed Data Systems
Databricksover 1 year ago
Base Salary
$166k - $225k/yr
Responsibilities
- Build next-generation distributed data storage and processing systems.
- Develop reliable, high-performance services and client libraries for cloud storage backends.
- Build and improve data lake, data pipeline orchestration, query optimizer, and execution engine technologies.
- Design systems that support workloads ranging from ETL to data science.
- Improve the performance, scalability, and robustness of distributed data infrastructure.
Requirements
- Bachelor's degree or higher in Computer Science or a related technical field, or equivalent practical experience.
- At least 5 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.
- Ability to work toward a multi-year vision through incremental deliverables.
- Motivation to deliver customer value and impact.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Benefits information is available at https://www.mybenefitsnow.com/databricks.
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.