Staff Data Systems Engineer - Curated On-Chain Data, Remote

CrossTalent; United States; Remote; USD 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Remote-first with flexible hours

Private medical insurance

5 weeks PTO + holidays

Annual travel allowance

Home office stipend

Company equity opportunity

Zusammenfassung

Dune is hiring a backend data systems engineer to own the lifecycle of curated data. You design and implement the control plane, manage backfills, restatements, and retries, and ensure end-to-end data correctness across multiple datasets and models. You will work across Go, Kotlin, Rust, Python, and SQL in a hybrid setup.

You will help build scalable data architecture, handle schema changes, and partner with cross-functional teams to deliver reliable, high-quality data products at scale.

Qualifikationen

• Backend engineer with deep data systems experience.
• Experience building orchestration and scheduling systems.
• Knowledge of schema evolution and data correctness.
• Experience with stateful stream processing in production.

Aufgaben

• Design the control plane for curated data lifecycle including backfills and restatements.
• Decide per dataset if the solution is a model, service or job and own it in production.
• Design ingestion–curation contracts for end-to-end dataset reasoning.
• Build data quality signals and alerting to reduce incident noise.
• Work across Go, Kotlin, Rust, Python and SQL to pick the right tool.

Kenntnisse

Go

Kotlin

Rust

Python

SQL

Data systems

Distributed systems

Software architecture

Tools

Flink

Kafka Streams

SQLMesh

dbt

Jobbeschreibung

Dune is hiring a backend data systems engineer to own the lifecycle of curated data. You design and implement the control plane, manage backfills, restatements, and retries, and ensure end-to-end data correctness across multiple datasets and models. You will work across Go, Kotlin, Rust, Python, and SQL in a hybrid setup.

You will help build scalable data architecture, handle schema changes, and partner with cross-functional teams to deliver reliable, high-quality data products at scale.