Software Engineer
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
The role addresses a crucial need in data engineering within a startup environment, but lacks specific salary details and scalability opportunities.
- Engage in critical data engineering projects.
- Startup environment offers unique innovation opportunities.
- Details on salary and scalability are unclear.
- On-site requirement may deter remote-centric candidates.
Pros
- Engagement in building highly relevant data processing tools.
- Opportunity to work in an emerging startup environment.
- Position requires creative problem-solving that can lead to innovation.
Cons
- Vague compensation details might put off candidates.
- Intensive workload anticipated due to startup culture.
- Requires on-site presence, limiting talent acquisition.
Who it's for
Entry to Mid-Level • On-site
Good fit
- Data engineers passionate about innovative solutions.
- Team players looking to make an impact in a startup.
- Those eager to tackle real-world engineering problems.
Not recommended for
- Candidates prioritizing comprehensive remote roles.
- Veteran engineers seeking structured corporate settings.
- Individuals without a strong technical background.
Motivation fit
Key skills
About the job
Software Engineer
San Francisco and London (in person)
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 or London
- 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 or willing to work in San Francisco or London.
To apply, send your resume to jobs@etleap.com
