Staff Data Platform Engineer - Remote, High-Impact Systems

Dune

United States

Remote

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Competitive salary & equity
Fully remote work
5 weeks PTO
Private medical, dental & vision
Parental leave: 16 weeks primary, 6 of
Flexible working hours
Quarterly offsites
Annual travel allowance
Home office stipend
Company swag

Job summary

Dune is seeking a data platform engineer to architect and scale our distributed data systems. You will define interfaces, model domain workflows, and drive end-to-end ownership of critical data components in a remote-first setup.

You will work across Go, Kotlin, Rust and Python, tackling large-scale ingestion, processing, and storage. Strong CS fundamentals and distributed systems experience are essential for success in a fast-paced, globally distributed team.

Qualifications

  • Strong computer science fundamentals and experience with distributed data systems.

Responsibilities

  • Turn product requirements into technical requirements and define interfaces and workflows.
  • Break large problems into manageable work and ship early.
  • Drive architectural decisions across the data platform and own components end-to-end.
  • Collaborate across the stack using Go, Kotlin, Rust and Python as appropriate.
  • Design for correctness and performance with large-scale ingestion and distributed processing.
  • Improve design reviews, testing, and team planning.
  • Mentor engineers in a fully distributed team.

Skills

Distributed data
Go
Kotlin
Rust
Python

Tools

Parquet
Iceberg
Deltalog

Job description

Dune is seeking a data platform engineer to architect and scale our distributed data systems. You will define interfaces, model domain workflows, and drive end-to-end ownership of critical data components in a remote-first setup.

You will work across Go, Kotlin, Rust and Python, tackling large-scale ingestion, processing, and storage. Strong CS fundamentals and distributed systems experience are essential for success in a fast-paced, globally distributed team.

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