Senior Software Engineer - Fullstack

Databricks
Mountain View, San Francisco
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Customer-focused","Communication","Collaboration","Problem-solving"]

Senior full‑stack engineer responsible for building and scaling Databricks’ data platform UI and backend components. You will own end-to-end features from data loading and visualization to production deployment, collaborating with product and design to deliver a seamless, SQL‑driven data exploration experience across large distributed systems.

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FursaFursa
Databricks
Databricks
4 years ago

Senior Software Engineer - Fullstack

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Senior full‑stack engineer responsible for building and scaling Databricks’ data platform UI and backend components. You will own end-to-end features from data loading and visualization to production deployment, collaborating with product and design to deliver a seamless, SQL‑driven data exploration experience across large distributed systems.
Location: Mountain View, San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement front-end and back-end features for the Databricks Data Intelligence Platform to support data loading, visualization, and production deployment.
  • •Build scalable, distributed data pipelines and UI components that enable data exploration and dashboarding at scale.
  • •Collaborate with product management and design to deliver a seamless user experience and robust architecture.
  • •Contribute to multi-year product vision with incremental, deliverable milestones and measurable impact for customers.
  • •Participate in onboarding and mentoring to help teams adopt best practices and data-driven workflows.

Key Requirements

  • •5+ years of experience with HTML, CSS, and JavaScript.
  • •5+ years of experience with server-side web technologies (e.g., Node.js, Java, Python, Scala, C#, C++, Go).
  • •Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
  • •Good knowledge of SQL.
  • •Experience with cloud technologies (AWS, Azure, GCP, Docker, or Kubernetes) and large-scale distributed systems.
Experience:5+ yearsData analyticsSaaS
Skills:Customer-focusedCommunicationCollaborationProblem-solving
Languages:English
Tech Stack:HTMLCSSJavaScriptReactAngularVueJsEmberNode.jsJavaPythonScalaC#C++GoSQLAWSAzureGCPDockerKubernetes

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn