Remote job
Remote confirmedData Engineer
Rain
Job briefing
Read from the posting and checked against our job index
- Apply from
- Puerto Rico, Spain
- Work model
- Fully remote
- Full posting text checked
- The posting reads as hybrid, the full text says fully remote.
- Salary
- Not stated
- Roles in the same field in our index: median €6,000 per month, middle range €4,375 to €7,292 (125 postings).
- Level
- Mid-level
Your tasks
- Build scalable batch and streaming pipelines suited to latency, cost, and correctness needs
- Process events near real time, handling duplicates and late or out-of-order data
- Own incremental dbt models and orchestrate pipelines in Dagster
- Add data quality checks, monitoring, and reconciliation, and fix root causes
- Align data contracts and data needs with Engineering, Analytics, Data Science, and Risk teams
- SQL
- Python
- Rust
- BigQuery
- ClickHouse
- Snowflake
- Pub/Sub
- Kafka
- Dataflow/Beam
- Flink
What they expect
Required skills
- At least 3 years building production data solutions and owning batch and streaming pipelines end to end
- Experience designing data solutions at scale
- Strong SQL and Python or Rust
- Experience with a cloud data warehouse such as BigQuery, ClickHouse, or Snowflake
- Streaming experience with tools such as Pub/Sub, Kafka, Dataflow/Beam, or Flink, plus dbt and Dagster or Airflow
- Experience with production data quality testing, monitoring, and reconciliation
Mindset
- Ability to use AI tools to learn and work faster while checking their output
Good to know
- Listed with us since
- November 12, 2026
- Employer
- 6 more open roles at Rain in our index. Of these, 3 fully remote. See remote jobs at Rain
- Benefits in the posting
- At least 10 days off per year, Stipend for a comfortable home workspace, For US team members: 95% of health, dental, and vision plan, For US team members: 401(k) with a 4% company match, Equity option plan
Before you apply
These terms appear word for word in the posting. If you have these skills, they belong in your CV too.
- production data solutions
- batch and streaming pipelines
- Strong SQL and Python / Rust
- data quality testing
- monitoring
- reconciliation
Generated automatically by nomado24 from the posting and our index. Not an employer statement. The original posting is authoritative.
Job description
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.
Our Ethos
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 …
This role is provided by an external source. Applications are handled on the source website.
