Top Tech Jobs & Startup Jobs in Seattle, WA

Lead Pacific Northwest workplace operations across Bellevue, Seattle, and Vancouver. Manage workplace services team, vendor relationships, events, front-of-house, maintenance, budgets, and day-2/site expansion projects. Develop and document operational processes, mentor staff and contractors, and partner cross-functionally to deliver consistent, high-quality employee experiences and support rapid regional headcount growth.

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

The Senior Staff Software Engineer - Privacy will enhance security for customers, attracting top talent, and representing the discipline at various events while overseeing data security initiatives.

The role involves defining and executing the vision for Databricks AI, collaborating with engineering teams to develop AI products, and engaging with stakeholders to uncover new use cases.

As a Sr. Staff Software Engineer on the Money team, you'll manage billing processes, develop pricing strategies, enhance infrastructure, lead cross-functional projects, and use AI for cost optimization.

As a Senior Software Engineer focused on backend, you'll develop the Databricks platform, enhance infrastructure, and address performance, security, and reliability challenges.

As a Senior Full Stack Engineer, you will design and implement user experiences, data pipelines, and large-scale compute solutions while ensuring customer satisfaction and product scalability.

Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.

Coordinate and manage RFx project efforts, ensuring timely responses and collaboration with stakeholders to support revenue-generating activities.

As a Staff Software Engineer at Databricks, you will develop distributed data storage and processing systems, focusing on projects like Apache Spark, Delta Lake, and performance optimization for diverse data workloads.