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 for diverse workloads ranging from ETL to data science.
- Develop and improve Apache Spark and other big data processing frameworks.
- Build 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 systems to orchestrate and operate tens of thousands of data pipelines.
- Improve query optimizers and execution engines for speed, scalability, and robustness.
Requirements
- Bachelor’s degree or higher in Computer Science or a related technical field, or equivalent practical experience.
- At least five 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 such as Apache Spark and Hadoop.
- 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 details varying by region.
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.