Data Engineer

Rain; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Unlimited vacation (min 10 days)

Flexible work location

Home workspace stipend

Health, dental, vision coverage

401(k) with 4% match

Equity plan

Wellness stipend

Office meals

Team offsites

Job summary

Rain is seeking a Data Engineer to join its data platform team in a hybrid US role. You will build scalable batch and streaming pipelines, ingest data from databases, files, APIs and on-chain sources, and ensure data quality and correctness across the warehouse.

You will work with Analytics, Data Science and Risk teams, using tools like dbt, Dagster, Airflow, and cloud warehouses (BigQuery/Snowflake/ClickHouse). The role emphasizes production-grade code and scalable, reusable data solutions.

Qualifications

• At least 3 years building production data solutions, including end-to-end batch and streaming pipelines.
• Experience designing data solutions at scale.
• Strong SQL and Python/Rust, plus cloud data warehouse experience (BigQuery, Snowflake, ClickHouse).
• Streaming experience with Pub/Sub, Kafka, Dataflow/Beam or Flink.
• Batch experience with dbt and an orchestrator (Dagster or Airflow).
• Experience with data quality testing, monitoring, and reconciliation.
• Ability to debug across source DB, pipelines, warehouse and reports.
• Willingness to use AI tools to speed up work while validating results.

Responsibilities

• Build scalable batch and streaming pipelines balancing latency, cost, and correctness.
• Handle near real-time events with deduplication and late data management.
• Own ingestion from databases, files, APIs, and onchain sources.
• Develop dbt models that cope with late data and backfills; reconcile outputs.
• Orchestrate pipelines with Dagster/Airflow and implement sensors and alerts.
• Add freshness, volume, and reconciliation checks across sources.
• Collaborate with Analytics, Data Science and Risk teams to meet data needs.

Skills

SQL

Python

Rust

Data modeling

Data quality

Problem solving

Tools

Dbt

Dagster

Airflow

Pub/Sub

Kafka

Dataflow/Beam

Flink

BigQuery

Snowflake

ClickHouse

Job description

About this job

About the Company

Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.

You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.

We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.

About the role

Rain builds payments and stablecoin infrastructure. Finance, Risk, Compliance, and our partners rely on data from card transactions, settlements, ledger entries, and onchain transfers.

We’re looking for a Data Engineer with batch and streaming experience to bring this data into our warehouse and keep it correct. You’ll build scalable, idempotent pipelines that handle late and duplicate data and alert us when something breaks.

At Rain, everyone models data, writes production-quality code, and automates their own workflows. We use AI to speed up repetitive work, but we own and check the results. In this role, you’ll automate ingestion and quality checks so new sources come online quickly and stay trustworthy.

What you’ll do

• Build scalable batch and streaming pipelines, choosing the right approach for latency, cost, and correctness.
• Process events near real time, handling deduplication, windowing, and late or out-of-order events.
• Own batch ingestion from databases (CDC), files (SFTP and GCS), APIs, and onchain sources.
• Build incremental dbt models that handle late data, duplicates, CDC deletes, and backfills; reconcile streaming and batch outputs.
• Orchestrate pipelines in Dagster with sensors, schedules, and alerts.
• Add freshness, volume, and reconciliation checks to every source, and fix root causes.
• Work with backend pods on event and table contracts to prevent downstream breakage.
• Partner with Analytics Engineers, Data Scientists, and Risk on their data needs, including ML features.

What you’ll need

• At least 3 years building production data solutions, including owning both batch and streaming pipelines end to end, from source to warehouse.
• Experience designing data solutions at scale.
• Strong SQL and Python / Rust, plus experience with a cloud data warehouse such as BigQuery, ClickHouse, or Snowflake and an understanding of their trade-offs.
• Streaming experience with tools such as Pub/Sub, Kafka, Dataflow/Beam, or Flink.
• Batch experience with dbt and an orchestrator such as Dagster or Airflow.
• Experience with production data quality testing, monitoring, and reconciliation.
• Ability to debug across the source database, pipeline, warehouse, and report.
• Ability to use AI tools to learn and work faster while checking their output.

Nice to have

• Building offline and real-time ML feature pipelines, such as fraud or risk features.
• Working with payments, banking, or blockchain data, including EVM or Solana events and indexers.
• Using CDC and ingestion tools such as Datastream, Debezium, Meltano, Fivetran, or Airbyte.
• Experience with GCP.

Things that enable a fulfilling, healthy and happy experience at Rain:

Flexible time off Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.

Flexible working We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.

Easy to access benefits For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.

Retirement goals Plan for the future with confidence. We offer a 401(k) with a 4% company match.

Equity plan Every Rainmaker gets an equity option plan so we all benefit from our success.

Health and Wellness High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!

In-office meals Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.

Team summits Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.