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.

Senior Software Engineer

San Francisco (in person)

At Etleap, we’re redefining how data teams build and manage data pipelines. Our no-code/low-code ETL platform allows seamless integration of data from any source — whether databases, applications, or files — into lakehouses like Snowflake, Databricks, and Redshift. With pipelines that "just work" and features like advanced data transformation using dbt Core and end-to-end pipeline observability, we’re focused on making robust data pipelines accessible to everyone.

We are looking to add senior 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.

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
• Collaborate on the design and development of the next generation of ETL/ELT infrastructure that prioritizes user-friendliness and flexibility

What we want to see in you:

• 5+ years of experience as a backend software engineer, with a focus on distributed systems and data infrastructure
• You are drawn to and have experience solving challenging engineering problems
• Mastery in Java and a passion for building scalable, reliable systems
• You have worked in and thrive in a fast-paced startup environment
• You’re down to earth and fun to be around. This is an absolute must!
• Based in or willing to relocate to San Francisco

Big plus if you have the following:

• Experience in a startup environment where you’ve helped build infrastructure from the ground up.
• Familiarity with AWS services like S3, EMR, and technologies like Terraform and Docker.
• Know the ins and outs of current big data frameworks like Spark or Flink

This role is open to individuals based in or willing to relocate to San Francisco

The product takes data source input, such as databases, log files, Salesforce, Marketo, and other cloud tools, lets users set up transformations, and builds the data warehouse tables.