Responsibilities

📍Ingest & model Beacon‑chain data — blocks, attestations, sync‑committee aggregates, deposits, and slashings—into ClickHouse and MongoDB at multi‑TB scale. 📍Develop scalable ETL/ELT pipelines in Apache Spark (PySpark/Scala) orchestrated via GitHub Workflows and containerized CI/CD. 📍Implement columnar schemas & partition strategies to achieve sub‑second analytical queries and reduce storage footprint. 📍Expose clean, version‑controlled datasets & metrics to internal stakeholders through APIs, dashboards, and notebooks. 📍Collaborate with Protocol & DevOps teams to surface validator health, slash‑risk events, and protocol‑level anomalies in real time. 📍Own data quality, lineage, testing, and documentation across the stack; champion best practices and continuous improvement. 📍Contribute to open‑source tooling around consensus‑layer data, distributed‑validator monitoring, and Ethereum research.

Requirements

📍2+ years of professional experience in data engineering or high‑performance backend roles. 📍Production expertise with ClickHouse and Apache Spark on multi‑terabyte datasets. 📍Hands‑on experience operating MongoDB for semi‑structured/operational workloads. 📍Proficiency in Python (pandas/PySpark) and/or Scala; solid Git and CI/CD habits (GitHub Actions/Workflows or similar). 📍Deep understanding of the Ethereum consensus layer (Beacon chain architecture, validator lifecycle, slashing conditions, client diversity—Lighthouse, Prysm, Teku, etc.). 📍Comfortable working in a remote, asynchronous startup environment with high ownership and autonomy.

Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.