Senior Software Engineer - Distributed Data Systems

San Francisco, California At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™ : Develop the de facto open source standard framework for big data. Data Plane Storage : Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake : A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines : It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering : Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: BS (or higher) in Computer Science, related technical field or equivalent practical experience. Comfortable working towards a multi-year vision with incremental deliverables. Motivated by delivering customer value and impact. 5+ years of production level experience in either Java, Scala or C++. Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems design including fault tolerance, scheduling/coordination systems or distributed consensus protocols such as Paxos/Raft. Experience with cloud computing platforms such as AWS or Azure. Experience working with large-scale datasets using Apache Spark™ or Hadoop ecosystem tools. Familiarity with containerization technologies such as Docker or Kubernetes. Strong communication skills with ability to collaborate across teams effectively. Ability to write clean maintainable code with good test coverage using TDD or similar methodologies. Passion for learning new technologies quickly in a fast-paced environment. Experience mentoring junior engineers preferred but not required. Benefits & Perks: Competitive salary range $166k-$225k USD annually plus equity compensation package. Comprehensive health insurance plans including medical/dental/vision coverage. 401(k) retirement savings plan with company matching contributions. Generous paid time off policy including vacation/sick leave/holidays/family leave. Flexible work hours & remote work options available depending on role/team needs. Professional development budget & opportunities for conference attendance/training certifications. Inclusive culture promoting diversity equity & inclusion initiatives across all levels of organization. Employee resource groups supporting various communities within company workforce. Regular team social events & volunteer opportunities encouraging community involvement outside work hours. Databricks is an equal opportunity employer committed to diversity inclusion & belonging in our workplace environment. We encourage applicants from all backgrounds identities experiences regardless of race ethnicity gender sexual orientation age disability veteran status or any other protected characteristic under applicable law. it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.