Alguna

Data Engineer (First Data Hire)

San Francisco, US Full-time

Who you are

  • You're a generalist who is willing to build the foundation of our data stack, which may involve some software engineering, data engineering, devops and data analysis
  • You're happy to be autonomous, making pragmatic decisions for yourself
  • You're curious - if something doesn't work you figure it out, you don't depend on others to fix things for you
  • You have related production experience with building a data stack from scratch

What the job involves

  • 0→1: Building the foundation for data products at Alguna - this includes both internal analytics and customer facing data products
  • Collaborating: We’re remote but highly collaborative in nature
  • Shipping value: We’re in the early stages of building the product, so we need to get features out there, get feedback, and iterate
  • Improving our internal developer experience: In order to allow us all to be efficient
  • Not just writing code: We write proposals to gather feedback on upcoming work and document our decisions
  • Being pragmatic: Given we’re still finding product-market fit, we will need to make tradeoffs with what we ship, and it’s not always going to be polished

🚀 Y Combinator Company Info

Y Combinator Batch: S23
Team Size: 5 employees
Industry: B2B Software and Services -> Finance and Accounting
Company Description: Modern SaaS Pricing, Quoting & Billing Platform

💰 Compensation

Salary Range: $75,000 - $140,000

📋 Job Details

Job Type: Full-time
Experience Level: 3+ years
Engineering Type: Data science
Time to Hire: 5

🛠️ Required Skills

Go React SQL Data Warehousing Data Modeling Data Analytics Amazon Web Services (AWS)

🎯 Interview Process

* A 30-minute intro call with one of the co-founders where we’ll talk about your experience, what we’re building, and what you’re looking for in your next role * A 30-minute call with the other co-founder to chat about the company, goals, and answer any questions you may have * A 60-minute technical interview where we'll dive deeper into your core abilities relevant to the role through a real-life pair-programming exercise * A 60-minute interview with some of your potential colleagues where we’ll discuss your background and how you like to work * Assuming we are a mutual match, we’ll conduct reference checks to confirm what we learned about you throughout the interview process. Typically, we’d ask for a couple of managers or peers that you collaborated with in the recent past