Key Areas of Responsibility

Build data pipelines. Work with our engineering team to develop and maintain ETL processes that move data from on-chain activity, validator logs, and infrastructure metrics into analytics-ready systems.
Keep data clean and reliable. Assist in implementing validation checks, monitoring data quality, and troubleshooting issues to ensure our teams always have accurate, timely insights.
Learn and grow. Develop your expertise in SQL, Python, and distributed data technologies. We expect curiosity and eagerness to dig into logs, schemas, and dashboards to understand how everything fits together.
Support protocol analytics. Help design dashboards and reporting systems that allow stakeholders — from internal teams to community members — to see the health and performance of the DoubleZero network.
Collaborate across functions. Work closely with infrastructure, product, and research teams to understand their data needs, prioritize requests, and support decision-making with well-structured pipelines and datasets.

Qualifications

2–3 years of relevant experience in data engineering, data analytics, or software engineering — this can include a combination of professional work and substantial internship, co-op, or project-based experience.
Strong SQL fundamentals and comfort writing queries against large datasets.
Exposure to Python, data engineering workflows, or cloud environments (e.g., AWS, GCP, or Azure).
Interest in distributed systems, blockchain networks, or network infrastructure.
Ability to manage multiple tasks, adapt to shifting priorities, and thrive in a fast-moving environment.
A willingness to learn quickly — experience with data engineering tools (Airflow, dbt, Kafka, Spark, etc.) is a plus, but not required.
Startup-minded: you’re not afraid to get your hands dirty, experiment, and iterate on imperfect systems.