Top Tech Jobs & Startup Jobs in Seattle, WA
As a Senior Software Engineer on the Runtime team, you will develop the next generation of distributed data storage and processing systems. Responsibilities include building reliable services for data storage on cloud backends, optimizing query performance, and contributing to projects like Apache Spark and Delta Lake. Strong experience in Java, Scala, or C++ is required, along with a solid foundation in algorithms and distributed systems.
As a Staff Software Engineer, you will develop innovative distributed data storage and processing systems. You will work with technologies like Apache Spark and Delta Lake to enhance data analysis capabilities and improve performance in various workloads such as ETL and data science.
As a Senior Software Engineer at Databricks, you will design and implement the next generation query engine and structured storage systems. Your work will focus on areas such as query compilation, distributed execution, data security, and efficient storage structures, all aimed at enhancing the performance of relational queries and supporting diverse workloads.
The Sr. Product Designer will design collaborative and intuitive machine learning products, emphasizing user-friendly workflows for both novice and advanced users, while closely working with engineering and product management teams to drive initiatives from ideation to completion.
As a Senior Frontend Engineer at Databricks, you'll collaborate with teams to create user-friendly data management experiences, focusing on making insights accessible. Responsibilities include developing features for data workflows, visualization, and dashboards, while leading multi-quarter projects that impact customers.
As a Senior Full Stack Software Engineer at Databricks, you will develop the Data Intelligence Platform, designing user experiences, managing data workflows, and building user interfaces, while ensuring robust product scalability and customer value.
As a Solutions Architect at Databricks, you will design and implement big data solutions, collaborating with sales and technical teams to demonstrate how Databricks can resolve client challenges. Your role includes consulting on data architecture, creating proof of concepts, and promoting open-source contributions.
As a Sr. Product Manager for the Databricks Runtime team, you will manage the entire product lifecycle, from gathering customer requirements to launching market-ready features. You will collaborate with engineering and product marketing to enhance user experiences, drive launches, and measure product performance through OKRs.
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