Senior Data Engineer

Requirements

• Design, build, and maintain Rain’s core data pipelines, including ingestion from payments processors, card issuers, blockchain nodes, internal services, and third-party APIs
• Own orchestration and workflow management, implementing Airflow, Dagster, or similar tools to ensure reliable, observable, and scalable data processing
• Architect and manage Rain’s data warehouse (Snowflake, BigQuery, or Redshift), driving performance, cost optimization, partitioning, and access patterns
• Develop high-quality ELT/ETL transformations to structure raw logs, transactions, ledgers, and on-chain events into clean, production-grade datasets
• Implement data quality frameworks and observability (tests, data contracts, freshness checks, lineage) to ensure every dataset is trustworthy
• Partner closely with backend engineers to instrument new events, define data contracts, and improve telemetry across Rain’s infrastructure
• Support Analytics and cross-functional teams by delivering well-modeled, well-documented tables that power dashboards, ROI analyses, customer reporting, and key business metrics
• Own data reliability at scale, leading root-cause investigations, reducing pipeline failures, and building monitoring and alerting systems
• Evaluate and integrate new tools across ingestion, enrichment, observability, and developer experience—raising the bar on performance and maintainability
• Help set the long-term technical direction for Rain’s data platform as we scale across new products, regions, and chains

Benefits

• Unlimited time off
• Flexible working
• Easy to access benefits
• Retirement goals
• Equity plan
• Rain Cards
• Health and Wellness
• Team summits