12 дней назад
Backend Engineer (Data Systems)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (Data Systems) (Go/Kotlin/Rust/Python/SQL): Building the control plane and architecture for Dune's curated blockchain data lifecycle with an accent on dependency-aware orchestration, schema evolution, data correctness, and recovery from partial failures. Focus on designing production data services, operating stateful stream processing, and building reliable quality signals across large datasets.
Location: Remote within Europe and the US; flexible working hours aligned with European and eastern US time zones.
Company
provides structured blockchain datasets and intelligence for institutions, protocols, and analysts across more than 130 chains.
What you will do
- Design and build the control plane for the curated data lifecycle, including dependency-aware orchestration, backfills, restatements, retries, partial-failure handling, and recovery.
- Choose and own the architecture for models, services, and jobs across individual datasets.
- Design contracts between ingestion and curation so datasets can be reasoned about end to end.
- Build alerting and data-quality signals that identify real problems without creating operational noise.
- Work across Go, Kotlin, Rust, Python, and SQL, selecting the right tool for each problem.
- Break ambiguous, complex problems into sequenced work that other engineers can own and ship incrementally.
Requirements
- Backend engineering experience with deep data-systems expertise, or strong software engineering experience developed from data engineering.
- Experience building or materially extending orchestration and scheduling systems at scale.
- Experience handling schema evolution and data correctness in systems with downstream consumers.
- Production experience with stateful stream processing such as Flink, Kafka Streams, Spark Structured Streaming, RisingWave, Materialize, or Feldera.
- Strong SQL, data modeling, computer science fundamentals, and distributed-systems knowledge.
- Ability to debug independently, drive root-cause analysis, communicate clearly in writing, and use AI tools while understanding their failure modes.
Nice to have
- Deep experience with dbt or SQLMesh, including extending the framework beyond its standard capabilities.
- Experience with Parquet, Iceberg, or Delta Lake formats.
- Experience working where data is the product.
Culture & Benefits
- Fully remote-first work within a distributed team, with flexible working hours and employee-managed schedules.
- Competitive salary and equity package, with equity terms positioned in the top 25% of companies.
- Five weeks of paid time off plus local public holidays.
- Private medical, dental, and vision insurance, plus paid parental leave.
- Quarterly company or team offsites, annual travel allowance, and support for a home office or local coworking space.
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