We are looking to add engineers to our core engineering team to build the infrastructure that modern data teams depend on to create and operate their analytics infrastructure! It shouldn’t take a CS degree to build great data pipelines, and abstracting away the difficult parts is our mission.
Are you ready for the challenge?
What you are going to do: – Solve challenging engineering problems related to the performance and robustness of distributed systems infrastructure – Come up with novel ideas on how to make complex data technology user-friendly, and then turn those ideas into software – Be part of the team that builds the next generation of ETL/ELT infrastructure
What we want to see in you: – You are drawn to and have experience solving challenging engineering problems – You build robust and scalable data systems three times as fast as other developers – Coding in Java is second nature to you – You’re living in or willing to work in San Francisco – You’re excited to work in a scrappy environment – You’re down to earth and fun to be around. This is an absolute must!
Big plus if you have the following: – Experience working in a startup engineering team – Working knowledge of S3, EMR, Terraform, and Docker – Know the ins and outs of current big data frameworks like Hadoop, Spark, or Flink, but this is not an absolute requirement – you’re a quick learner!
*** This role is open to individuals living in San Francisco. The role is in-house, working from our SF office ***
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