Databricks is seeking an on-site Staff Software Engineer in Seattle, WA to help drive Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform. The goal is to make Spark Structured Streaming the state-of-the-art stream processing engine by advancing state management, introducing new operators, and re-architecting components to improve latency, throughput, and cost. You will set and drive the technical vision for Spark Structured Streaming across open source and Databricks, design and build core engine capabilities, improve operability, and drive streaming adoption across the product portfolio. You will mentor and technically lead engineers on the team, working with the Engineering Manager to attract and grow top talent, and you will guide long-term architecture and debt decisions. Qualifications include BS or higher in Computer Science or related field, or equivalent practical experience; 8+ years building related systems (big-data ecosystems, Apache Spark, or database internals); interest in database/storage/distributed systems, language design, or performance optimization; ability to deliver features with a high bar for operational excellence; and strong cross-functional communication with product management and customers. Local Pay Range: $182,400—$247,000 USD. Databricks is headquartered in San Francisco and maintains offices worldwide.

Databricks is seeking an on-site Staff Software Engineer in Seattle, WA to help drive Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform. The goal is to make Spark Structured Streaming the state-of-the-art stream processing engine by advancing state management, introducing new operators, and re-architecting components to improve latency, throughput, and cost. You will set and drive the technical vision for Spark Structured Streaming across open source and Databricks, design and build core engine capabilities, improve operability, and drive streaming adoption across the product portfolio. You will mentor and technically lead engineers on the team, working with the Engineering Manager to attract and grow top talent, and you will guide long-term architecture and debt decisions. Qualifications include BS or higher in Computer Science or related field, or equivalent practical experience; 8+ years building related systems (big-data ecosystems, Apache Spark, or database internals); interest in database/storage/distributed systems, language design, or performance optimization; ability to deliver features with a high bar for operational excellence; and strong cross-functional communication with product management and customers. Local Pay Range: $182,400—$247,000 USD. Databricks is headquartered in San Francisco and maintains offices worldwide.