Data analytics teams need solid infrastructure and great ETL tools to be successful. It shouldn&#x27;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!<p>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!<p>About you:<p>- You build robust and scalable data systems three times as fast as other developers.<p>- You’re deeply familiar with Java and the JVM, and you’re also a polyglot.<p>- You have a passion for improving data analytics.<p>- You’re living in or willing to move to San Francisco.<p>Our small team loves data but think current ETL tools suck. Currently in stealthy private beta. The position is onsite in SOMA, San Francisco.<p>Competitive compensation package including very significant equity offered to the right candidate.<p>To apply, email us at etl.sans.dev@gmail.com.
Analytics Infrastructure Startup Is Hiring a Senior Data Engineer