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Senior Software Engineer - Fullstack

Databricks· Engineering
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Hybrid (Mountain View, CA; San Francisco, CA)$166k - $225kFull-timePosted 11mo ago

About the role

Senior Full Stack Software Engineer to work with product management to deliver customer-focused data insights platforms. Responsible for the full project lifecycle from data loading to production deployment, with emphasis on scalable, delightful user experiences and collaboration at scale.

Responsibilities

  • Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources.
  • Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs.
  • Seamless onboarding and management for all members of an organization to become data-driven.
  • Provide a great SQL-centric data exploration and dashboarding experience on Databricks
  • An interactive environment for collaborative data projects at massive scale with an easy path to production.

Qualifications

  • 5+ years of experience with HTML, CSS, and JavaScript.
  • Passion for user experience and design and a deep understanding of front-end architecture.
  • Comfortable working towards a multi-year vision with incremental deliverables.
  • Motivated by delivering customer value.
  • Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
  • 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
  • Good knowledge of SQL.
  • Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
  • Experience developing large-scale distributed systems.

Skills

Required:HTMLCSSJavaScriptFront-end frameworkServer-side technologiesSQLCloud / DevOpsDistributed systems

Benefits

  • Comprehensive benefits and perks (region-specific details available via provided link)
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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