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Go Beyond ETL and create end-to-end data pipelines with a single platform

Jobs at Datacoral

Datacoral provides fully managed building blocks designed to collect data from any source, automatically organize that data in any query engine, and leverage that data for insights and publishing. We collect, organize, and harness your data so that you can focus on doing more with your data.

Based on serverless technologies like AWS Lambda, Datacoral’s infrastructure seamlessly scales as your company’s data needs grow and change. Our data operations team ensures continuous access to relevant, timely data.

Because your data never leaves your own AWS environment, it is always secure, and is encrypted using your keys. You are always in control of who has access to your data.
Showing 6 of 6 jobs
Engineering

DevOps Engineer

About Datacoral

Datacoral was founded in 2016 with one overarching goal - eliminate the the complexity and cognitive load of building and managing data infrastructure. We strive everyday to reduce friction that data practitioners face when trying to extract value out of their data.

Engineering

Senior Software Engineer - Backend

Senior Software Engineer

San Francisco, CA

Get in early on building the first truly cloud-native data infrastructure stack
Opportunity to make a large impact on product, company, and customers
Work closely with a founding team that’s driven massive scale at Facebook, Groupon, and more

Dataco...

Engineering

Senior Software Engineer - Frontend

Posted 6 months ago
  • Get in early on building the first truly cloud-native data infrastructure stack
  • Create UI and Tooling to improve complex data science workflows
Engineering

DevOps Engineer

Posted 6 months ago
  • You will help design scalable deployment and monitoring for multiple isolation installations
  • You will collaborate with software engineering to deploy and operate our systems.
Sales

Account Executive

About Datacoral

Datacoral was founded in 2016 with one overarching goal - eliminate the the complexity and cognitive load of building and managing data infrastructure. We strive everyday to reduce friction that data practitioners face when trying to extract value out of their data.