Data Engineer

Summary

Join DV Labs, a venture-backed, remote-first team, as a Data Engineer to design and build the data platform for their next-generation distributed validators. You will ingest and model Beacon-chain data at multi-TB scale, develop scalable ETL/ELT pipelines, implement columnar schemas, and expose datasets to internal stakeholders. Collaboration with Protocol & DevOps teams is key to surfacing validator health and protocol anomalies. You will own data quality and contribute to open-source tooling. The ideal candidate has 2+ years of experience in data engineering, expertise with ClickHouse and Apache Spark, and a deep understanding of the Ethereum consensus layer.

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

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

Preferred Qualifications

• Familiarity with Ethereum execution-layer JSON-RPC, MEV-Boost, and block-building economics
• Experience operating distributed systems on Kubernetes , Nomad , or similar orchestrators
• Fluency in Python
• Exposure to data-observability stacks (dbt, Great Expectations, Dagster) and time-series monitoring (Prometheus/Grafana)
• Prior contributions to web3 or other open-source projects

Benefits

• Competitive salary in dollars
• Full remote company - Work from wherever you want
• Possibility to attend to relevant Conferences
• 2 Recharge weeks at the end of the year
• Equipment budget