Responsibilities

📍Build and maintain real-time Solana Geyser ingestion pipelines. 📍Design and scale streaming and batch ETL into BigQuery, ClickHouse, or DuckDB. 📍Create and maintain slot and transaction level datasets for trades, account diffs, transfers, etc. 📍Build internal APIs and tools for querying historical states and simulating counterfactuals. 📍Build and maintain dashboards to visualize key metrics. 📍3+ years of experience in data engineering, data infrastructure, or backend engineering roles 📍Experience working with blockchain data (e.g. Solana, Ethereum, Bitcoin) 📍Experience with blockchain indexers or off-chain data APIs 📍Deep familiarity with ClickHouse, Grafana, or equivalent data/visualization stacks 📍Expert level in Python, Rust, SQL, and distributed data systems (e.g. Spark, Kafka, Airflow) 📍Experience working with large-scale or real-time data in a cloud-native environment (e.g. GCP, AWS) 📍Familiarity with monitoring and observability tools (e.g. Grafana, Prometheus, DataDog) 📍Strong understanding of data modeling, ETL pipelines, and infrastructure-as-code 📍Excellent collaboration and communication skills in a remote, async-first environment

Bonus Points For:

📍Understanding of validator performance and protocol-level telemetry 📍Contributions to open-source data or infra projects 📍Familiarity with Rust or performance-sensitive system

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.