Engineering at Databricks | DatabricksSkip to main contentPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
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Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWEngineering at DatabricksWork with the teams solving the world’s toughest problemsSee open jobs OverviewCultureBenefitsDiversityStudents & new gradsMake an impact with our engineering teamsAt Databricks, we believe that we win by empowering our engineering teams to iterate rapidly from idea to production. Our engineering teams constantly push the boundaries of data and AI technology — while simultaneously operating with the resilience, security and scale that are critical to making customers successful on our platform.
We build highly technical products that enable data teams to solve the world’s toughest problems, from cybersecurity threat detection to cancer drug development to pioneering the next mode of transportation.Learn more about the Data Team EffectLearn more about the Databricks Lakehouse PlatformDevelop with an innovative global teamFounded in 2013 by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks has grown from a tiny corner office in Berkeley, California, to a company with employees all over the world.
Databricks has since become the industry leader for data-driven decision-making with its cloud-based infrastructure, collaborative workspace, team-based version control, integrated libraries for data manipulation and visualization, Spark-compatible optimized runtime environment, and robust security.
Worldwide openings
There are openings in our engineering centers in San Francisco, Mountain View, Seattle/Bellevue, Amsterdam and Berlin - as well as remote opportunities worldwide - to continue our momentum.
Apply todayMeet the engineers of DatabricksWhat is mentorship like at Databricks?What is the most impactful project you’ve worked on at Databricks?What is an unexpected reward you’ve experienced as an engineer?Find out what inspires our engineersTo learn more, check out our Culture Blog and Technical BlogPlatform EngineeringThe platform teams are responsible for datacenter-scale infrastructure with millions of virtual machines under management, supporting hundreds of thousands of customers. These teams build scalable infrastructure for building, deploying, monitoring and operating fleets of services across multiple cloud platforms (AWS, GCP and Azure). Areas of focus include the core application architecture, distributed systems, networking, security and API infrastructure.Core Storage and Data ProcessingData Science ApplicationsSee open jobsProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
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