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:
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Solve challenging engineering problems related to the performance and robustness of distributed systems infrastructure
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Come up with novel ideas on how to make complex data technology user-friendly, and then turn those ideas into software
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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:
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You are drawn to and have experience solving challenging engineering problems
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5+ years of backend or fullstack experience
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Mastery in Java and a passion for building scalable, reliable systems
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Experience with cloud-native architecture and distributed computing
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You thrive in a fast-paced startup environment
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You’re down to earth and fun to be around. This is an absolute must!
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Based in or willing to relocate to San Francisco
Big plus if you have the following:
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Experience in a startup environment where you’ve helped build infrastructure from the ground up.
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Familiarity with AWS services like S3, EMR, and technologies like Terraform and Docker.
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Know the ins and outs of current big data frameworks like Spark or Flink, but this is not an absolute requirement - you’re a quick learner!
What we are offering:
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A competitive equity package, aligning your success with the company's growth.
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Comprehensive health benefits, unlimited PTO, and daily catered lunch.
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Prime office locations in San Francisco and London, conveniently accessible by public transportation.
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Opportunities for professional development and career progression in a rapidly growing company.
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A collaborative, inclusive company culture prioritizing work-life balance.
This role is open to individuals willing to work in our San Francisco office.
Interview Process:
At Etleap we aim to move quickly with our hiring process and hope to complete the process from application to offer within 2-3 weeks. You will meet with 5 members of the backend team, including the Founder, while guided by our Recruiter, and we aim to provide feedback after each interview within 1 business day.
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Resume & application review
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Initial Interview w/ Member of the Technical Staff - 30 minutes
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Code Test & Code Review - 3.5 hours
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Behavioral & Code Comprehension - 1.5 hours
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Onsite Final Interview w/ the Founder - 1 hour
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References & Offer
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What We Do
Etleap ETL removes the headaches experienced building data pipelines. A cloud-native platform that seamlessly integrates with AWS infrastructure, Etleap ETL consolidates data without the need for coding. Our purpose is to unlock the power of data and enable analytics teams to be more productive by removing the need for internal IT resources or knowledge of complex scripting languages, reducing the time spent on typical ETL projects from weeks to hours. With rich features like wrangling, modeling, and VPC deployment, Etleap arms data teams with the ability to parse, structure, de-identify, clean, and secure their data effortlessly while modeling data with SQL for performance and analytics readiness - all in just a few clicks.
