Data analytics teams need solid infrastructure and great ETL tools to be successful. It shouldn't take a CS degree to use big data effectively, and abstracting away the difficult parts is our mission. Come help build a new kind of ETL product that lets data analysts do their job without a dev team!

Senior Data Engineer

Fixing ETL is a technically ambitious project involving everything from distributed data processing systems to low-level database optimization. The stack includes Cascading, Hadoop, Kafka, and Docker, and it’s your task to evolve it to meet new demands of our product!

About you

  • You build robust and scalable data systems three times as fast as other developers.
  • You’re deeply familiar with Java and the JVM, and you’re also a polyglot.
  • You have a passion for improving data analytics.
  • You’re living in or willing to move to San Francisco.
  • You have a BSc or higher in Computer Science or equivalent degree / experience.

About us

We founded Etleap after getting frustrated with the difficulty of building robust ETL infrastructure for analytics. Our small team loves data but think current ETL tools suck. We're funded by YCombinator and top investors, and we're located in SOMA, San Francisco.

To apply, send your resume to

Stop working for your data. Make it work for you.

Set yourself free from never-ending ETL projects and let your team start making smarter decisions, faster than ever before.