Job description
DV Labs is building the next generation of distributed validators to make Ethereum staking more resilient, decentralized, and secure.
Our software allows groups of operators—large and small—to collaboratively run a single validator while minimizing single‑point‑of‑failure risk and maximizing client diversity. We are a venture‑backed, remote‑first team that values open‑source ethos, long‑term thinking, and empirical decision‑making.
We are searching for a dedicated Data Engineer to design, build, and own the data platform that powers product decisions, validator‑performance analytics, on‑chain research, and community transparency.
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.
Nice to have
- 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.
About the team - How we work?
- Async‑first: proposals & design docs precede meetings.
- Small, senior team: high trust & ownership.
- Open‑source by default: most code and discussions are public.
Our Values
- Synergistic
- Secure
- Innovative
- Reliable
Compensation
- 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
Thanks for submitting your application! We’re excited to connect and hopefully build amazing things together. Best of luck!
Thanks for submitting your application! We’re excited to connect and hopefully build amazing things together.
Best of luck!
