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Java/Spark Data Engineer/Architect - No transfer or sponsorship available - Fully remote in US

Remote, USA
  • build Apache Spark code to drive a pipeline of graph-based transformations.
  • work closely with product, engineering, documentation and business stakeholders to ensure the delivery, improvement and further evolution of the system, both functionally and in scale.
  • contribute working within a small, dedicated collaborative agile team.
  • execute on a key area of the data.world platform.
  • learn… constantly.
We'd love to see:
  • a BS in technology or engineering field, or equivalent experience.
  • 5+ years experience as an engineer, including data engineering.
  • experience working with Apache Spark and with Java systems.
  • strong computer science fundamentals - particularly algorithms, graph processing, and relational data (SQL) experience.
  • experience with AWS (Amazon Web Services) and comfort with DEVOPS will be a strong plus.
  • strong opinions, loosely held. You admit when you're wrong, and integrate new learnings quickly.
  • a craftsperson. You know your way around and take pride in your work.
  • an appreciation of the user, even when you're building a backend or API.
  • familiarity with a variety of languages and libraries. You know which tools to use for which tasks.
  • the ability to provide, as well as seek out, mentorship.
  • passion for continuous integration, and test-driven engineering methodologies.
  • strong written, verbal, and visual communication skills. You should be able to articulate your decisions, whiteboard new solutions, present ideas concisely, and defend your beliefs.
  • an appetite to try new things. You’re curious and excited to improve your process, and always looking to learn. You ask questions and don't shy away from challenges.

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