Senior Data Engineer

At Rain, we’re rebuilding the global financial pipes money flows through. Our infrastructure makes stablecoins 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.

Our Ethos

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, 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.
  

• 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, BigQuery, 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, analytics engineers, and cross-functional stakeholders to define requirements and deliver outcomes.

• Experienced – 5–7+ years in data engineering roles, ideally within fintech, payments, B2B SaaS, or infrastructure-heavy startups.

• Experience ingesting and processing payments data, transaction logs, or ledger systems.

• Exposure to smart contracts, blockchain data structures, or on-chain event ingestion.

• Experience building data tooling for compliance, risk, or regulated environments.

• Familiarity with dbt and/or semantic modeling to support analytics layers.

• Prior experience standing up data platforms from 0→1 at early-stage companies.
  

Our team works hard, so we make sure our benefits do too. Here’s what you can expect as a Rainmaker:

• Top-tier coverage: We cover 95% of Medical, Dental, and Vision premiums.

• 401(k) with matching: Invest in your future, just like we’re investing in ours.

• Ownership that matters: Every team member gets equity because we believe in building together.

• Work your way: Flexible hybrid setup with a prime SoHo office for NYC-based teammates.

• Unlimited PTO: Because time to rest and reset is just as important as time to ship.

• Product-first perks: Monthly budget to test our cards and features like a real user.

• Wellness support: Monthly stipend to spend on fitness, therapy, or whatever keeps you thriving.

• Home office setup: One-time stipend to create a space that works for you.

• Team connection: Frequent company events, team dinners, and offsites to stay connected.