About the role

Software Engineer - San Francisco

Etleap came to be out of the frustration with how much effort is required to build and maintain robust data pipelines. We want to make data pipelines easy for data engineers and analysts, and so we are creating an intuitive ETL/ELT tool that makes it quick to integrate data from any source without writing code, and efficient to manage hundreds or thousands of data pipelines.

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 ***

About Etleap

Etleap's mission is to transform the way businesses drive analytics projects.

We started Etleap out of frustration with the exorbitant amounts of engineering work required to set up, maintain, and scale data pipelines for analytics. Our vision is to make it simple for analytics teams to quickly and securely connect the data sources that power their businesses. We’re doing this by removing all of the traditional complexities of data integration and creating a new kind of ETL that enables the end user of data to integrate and transform data from any source.

Our team is customer-obsessed and values openness and being experimental. We’re growing fast, and we’re backed by First Round Capital, SV Angel, Y Combinator, and a number of other top-tier investors.