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Data Infrastructure Engineer

At Centaur Labs, we label data at scale to enable breakthroughs in medical AI. Our novel approach uses collective intelligence to aggregate medical opinions from experts and students all over the world. Our labeling customers include AI startups and prominent research organizations. We are a tight-knit team of 10 headquartered in Boston, and we're funded by Y Combinator, Accel, and GFC.

As our Data Infrastructure Engineer, you will take a lead role in architecting, developing, and scaling the Centaur data platform to meet our business objectives. Our ideal candidate is meticulous, highly detail-oriented, and not afraid to take on big engineering challenges.

  • Work with business and product teams to understand customer needs and deliver data products to meet them
  • Develop systems that are future-proof and will scale with the company
  • Ensure availability and resiliency of data layer
  • Keep our data private using security best practices

Requirements

  • Proficient with a modern backend language (Python, Node.js, Golang, etc)
  • Experience writing complex SQL queries
  • Familiarity with AWS ecosystem

Preferred Skills

  • Bachelor's degree in computer science, mathematics, or equivalent
  • Experience analyzing and optimizing database performance
  • Understanding of data science concepts, basic probability, and statistics
  • Experience building or maintaining ETL processes
  • Experience using PostGIS
  • Experience using Swift
  • Experience writing or editing academic papers, articles, or blog posts

Working at Centaur Labs

Benefits

Competitive salary and equity
Medical and dental coverage
Four weeks of paid vacation
Plus 11 annual paid holidays
Friendly office dog 🐶

About the company

At Centaur Labs, we label data (x-rays, DICOMs, text etc.) to enable breakthroughs in medical AI.

Our novel approach uses collective intelligence to aggregate opinions from experts and students all over the world, who provide these opinions on our gamified app, DiagnosUs. Our customers include AI startups and prominent research organizations.

We are a tight-knit team of 10 headquartered in Boston, and we're funded by Y Combinator, Accel, and GFC.

We're looking forward to hearing from you.

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