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As a Software Engineer at Databricks, you will collaborate with a team to enhance the Databricks platform, developing features and solutions with a focus on reliability, scalability, and security. You will oversee the full software development lifecycle, from design to production. New graduates with a Computer Science or Engineering degree are welcomed to apply.
As a Software Engineer for Databricks, you will work on enhancing a unified data and AI platform, focusing on areas such as query optimization, distributed execution, and data systems. Responsibilities include managing end-to-end projects while employing your implementation skills in programming languages and principles of computer science.
As a Software Engineer in the Database Engine team at Databricks, you will design and implement advanced database and storage systems. Responsibilities include query compilation, distributed query execution, and resource management focusing on performance optimization and customer impact.
As a Senior Software Engineer at Databricks, you will design and develop next-gen distributed data storage and processing systems, build high-performance services for cloud data storage, and enhance data engineering pipelines. You will leverage your expertise in Java, Scala, or C++, along with a strong basis in algorithms and distributed systems, to deliver impactful solutions for complex data challenges.
As a Staff Software Engineer focusing on backend development at Databricks, you will design, implement, test, and operate micro-services. The role involves working with Scala or Java, building data pipelines, integrating with third-party applications, and interacting with cloud APIs.
As a Senior Software Engineer focused on backend, you will develop infrastructure and products at scale for the Databricks platform. Projects include building a serverless platform, core cloud technologies, enhancing partner integrations, and improving developer experiences across various teams.
As an Engineering Manager at Databricks, you will lead a team to build a reliable and scalable platform, ensuring high technical standards and managing product delivery. You will hire and develop talent, coordinate cross-functional projects, and work on distributed systems and cloud infrastructure.
Lead and manage a team focused on the development and adoption of PySpark and Apache Spark within the Python community. Drive innovative integration of Generative AI to enhance user experience and expand user base. Oversee recruitment, product strategy, and technical architecture to ensure alignment with organizational goals while cultivating a skilled engineering team.
As a Staff Software Engineer at Databricks, you will build next generation distributed data storage and processing systems, work on high performance data management solutions such as Delta Lake, and enhance query optimization and execution for diverse workloads.
As a Senior Frontend Engineer at Databricks, you will enhance user experience by developing intuitive data exploration tools, managing large-scale data pipelines, and ensuring seamless collaboration on data projects. You will lead integrations of frontend technology, focusing on customer value and product lifecycle management.
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