Remote Data Platform Engineer (Kotlin/Go)

Dune Analytics

United States

Remote

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Equity package
Fully remote-first
5 weeks PTO + holidays
Private medical insurance
Parental leave
Travel allowance

Job summary

Dune Analytics is hiring a software engineer focused on the data platform. You will design and build distributed systems to scale petabytes of blockchain data, enabling fast SQL queries across datasets.

The role emphasizes Kotlin/Go with Java and Rust, ownership of ingestion components, and strong collaboration within a fast-moving team. This fully remote-first company offers equity, generous PTO, and flexible hours, with distributed teams across Europe and the eastern US.

Qualifications

  • Strong CS fundamentals with ability to design scalable systems.
  • Experience with distributed systems and large-scale databases.
  • Proficiency in JVM languages and writing clean, testable code.
  • Familiarity with blockchains, RPCs, and data formats like Parquet/Delta/Iceberg.

Responsibilities

  • Design and develop distributed data systems and architectures.
  • Tackle challenges in large databases, SQL processing, and data modeling.
  • Own components of the blockchain data platform (data ingestion/decoding).
  • Write Kotlin and Go code, with some Java and Rust, emphasizing performance.

Skills

Distributed systems
Go
Kotlin
Java
Rust
SQL processing
Data modelling
Blockchain RPC

Education

Bachelor's degree in CS

Tools

Parquet
Delta Lake
Iceberg

Job description

Dune Analytics is hiring a software engineer focused on the data platform. You will design and build distributed systems to scale petabytes of blockchain data, enabling fast SQL queries across datasets.

The role emphasizes Kotlin/Go with Java and Rust, ownership of ingestion components, and strong collaboration within a fast-moving team. This fully remote-first company offers equity, generous PTO, and flexible hours, with distributed teams across Europe and the eastern US.

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