Senior Data Engineer

Get AI-powered advice on this job and more exclusive features.

At Rain, we’re rebuilding the global financial pipes money flows through. Our infrastructure makes stable coins usable in the real world by powering credit card transactions, cross-border payments, B2B purchases, remittances, and more. We partner with fintechs, neobanks, and institutions to help them launch solutions that are global, inclusive, and efficient. If you’re curious, bold, and excited to help shape a borderless financial system, we’d love to talk.

Operating at the epicenter of stablecoin innovation means moving fast and thinking globally. Our team reflects the diverse, international audiences we serve. We hire people who stay agile as the tide ebbs and flows, fix what’s broken without waiting, chase trends before they peak, and remember to have fun through it all.

We’re looking for Rain’s first dedicated Data Engineer—a hands‑on builder who will architect the ingestion, pipelines, and infrastructure that power our data ecosystem. As Rain scales to millions of end users across payments, card programs, and blockchain rails, your systems will ensure every team has access to timely, accurate, and trustworthy data.

Reporting to the CTO and partnering closely with Analytics, Operations, Product, Compliance, and BD, you will own Rain’s data pipelines end‑to‑end: from ingesting raw transaction and blockchain data, to orchestrating transformations, to ensuring quality, observability, and reliability. This role is foundational—you’ll be shaping the data backbone that underpins analytics, customer reporting, operational tooling, and on‑chain integrations.

If you love building in fast‑moving environments, care deeply about data quality, and want to own core infrastructure at the heart of a modern fintech, this role is for you.

• 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, Big Query, 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.

• Data infrastructure builder – You thrive in early‑stage environments, owning pipelines and platforms end‑to‑end and choosing simplicity without sacrificing reliability.
• Expert data engineer – Strong Python and SQL fundamentals, with real experience building production‑grade ETL/ELT.
• Workflow & orchestration fluent – Hands‑on experience with Airflow, Dagster, Prefect, or similar systems.
• Warehouse & modeling savvy – Comfortable designing schemas, optimizing performance, and operating modern cloud warehouses (Snowflake, Big Query, Redshift).
• Quality‑obsessed – You care deeply about data integrity, testing, lineage, and observability.
• Systems thinker – You see data as a platform; you design for reliability, scale, and future users.
• Collaborator – You work well with backend engineers,…