112 day(s) ago

Remote Data Engineer vacancy at SafetyWing

Negotiable salary


Remote worker location: Worldwide
English: Advanced, Upper Intermediate, Native Speaker
Experience: 3+ years
Employment: Full-time

SafetyWing

SafetyWing (YC w2018) is building a global social safety net. We currently offer a global health insurance, and a global travel medical insurance for remote workers and digital nomads.

Description of the job

We are looking for a data engineer interested in building a global safety net

🚀 About SafetyWing

At SafetyWing, we do not have a strong division between tech and product - we are all part of the product development, and we all participate in strategic decisions for the company. We believe this is the path to create great products.

We’re a strong team of 35, our headquarter is in San Francisco, while our international team is fully distributed, stretching ten time zones (Finland to California). We are on a mission to remove the role of geographical borders as a barrier to equal opportunities and freedom for everyone. And we are doing that by creating simple health, insurance, and retirement products for remote workers worldwide, as a replacement for national welfare systems.

Our current customers are digital nomads (b2c) and remote companies (b2b).

👩‍💻 Languages and technologies we use

  • Java (soon with the addition of Kotlin), Guice (dependency injection), Gradle
  • React / Redux
  • MySQL (with Hibernate and Liquibase)
  • Python
  • Google cloud platform with bigQuery as data warehouse

🧪 We are looking for someone who

  • Is great at programming and enjoys what they do
  • Enjoys building data pipelines, developing and managing a dwh and building data aggregates for analytics purposes
  • Wants to help build a global social safety net on the internet
  • Thinks for themselves instead of copying others
  • Is creative and bold in the face of any problem
  • Is intellectually honest and have high integrity

🧘 Compensation

Hourly rate initially with the opportunity for a full time position over time

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