DiscoverStartupsDatabricksPage 10: Jobs at Databricks: Explore current Opportunities
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Databricks
Actively Hiring
One cloud platform for massive scale data engineering and collaborative data science5000+ Employees
  • B2B
  • Scale Stage
    Rapidly increasing operations
  • Top Investors
    This company has received a significant amount of investment from top investors
  • Valuation $1B+
    This company has a valuation of $1B or more
  • 4.6
    Highly rated
    Databricks is highly rated on Glassdoor, with 4.6 out of 5 stars
  • 4.7
    Strong Leadership
    Employees rate Databricks 4.7/5 on Glassdoor for faith in leadership

Jobs at Databricks - Page 10

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Engineering

Senior Software Engineer - Backend

NewPosted 4 years ago

Senior Software Engineer - Backend

  • Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
  • Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
Engineering

Senior Software Engineer - Backend

NewPosted 4 years ago

Senior Software Engineer - Backend

  • Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
  • Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
Engineering

Senior Software Engineer - Fullstack

NewPosted 4 years ago

Senior Software Engineer - Fullstack

  • 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.
Engineering

Senior Software Engineer - Frontend

NewPosted 5 years ago

Senior Software Engineer - Frontend

  • 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.