Remote Data Foundation Engineer

Dune

United States

Remote

USD 140,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Equity package
5 weeks PTO + holidays
Fully remote-first, flexible hours
Private medical insurance, dental &amp

Job summary

Dune is hiring for a data foundation engineer to own how blockchain data enters, is represented, and delivered externally. You’ll work on large distributed data systems, balance scaling patterns, and handle end-to-end design from concept to production.

You’ll be the engineer transforming ambiguous product requirements into concrete designs, and you'll mentor teammates in a fully distributed team. This role emphasizes architecture, performance, and cross-stack collaboration.

Qualifications

  • Strong CS fundamentals and ability to adapt to new technologies.
  • Experience designing and shipping distributed data systems.
  • Comfort with ambiguity and communicating trade-offs clearly.

Responsibilities

  • Turn product requirements into technical requirements and workflows.
  • Break large problems into components engineers can own and ship early.
  • Drive high-impact architectural decisions across the data platform.
  • Work across the stack (Go, Kotlin, Rust, Python) choosing the right tool.
  • Design for correctness and performance under large-scale ingestion and storage.
  • Raise the bar on design reviews and testing, and mentor the team.

Skills

Distributed data systems
First principles reasoning
Mentoring engineers
Distributed team collaboration

Tools

Go
Kotlin
Rust
Python

Job description

Dune is hiring for a data foundation engineer to own how blockchain data enters, is represented, and delivered externally. You’ll work on large distributed data systems, balance scaling patterns, and handle end-to-end design from concept to production.

You’ll be the engineer transforming ambiguous product requirements into concrete designs, and you'll mentor teammates in a fully distributed team. This role emphasizes architecture, performance, and cross-stack collaboration.

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