Rain Analytics Engineer, Finance at Rain responsible for building and owning financial data models and automating reconciliations. Partner with Finance, Accounting, and data teams to ensure data accuracy.
Responsibilities
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.
Rain is building payments and stablecoin infrastructure. Every transaction generates data across our system.
We’re looking for an Analytics Engineer, Finance to own the data layer Finance runs on: model it, reconcile it against source systems, test it, automate it, and make it self-serve. You’ll partner with Finance and Accounting and the data team to make sure every number we report ties back to its source.
We’re looking for someone with high agency and urgency who owns problems end to end, digs into discrepancies until the numbers tie out, and communicates clearly when something is uncertain. We care less about where you trained and more about what you’ve built.
At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means building trusted models and automating the reconciliations and reporting Finance depends on.
Build and own models for Finance: ledger, settlements, card transactions, invoicing, fees, and collateral, with clear grain and consistent definitions.
Build and run reconciliations between internal systems and external sources (card networks, processors, banks, partners); investigate breaks and fix the root cause.
Support month-end close and audit readiness with validated, documented outputs Finance can trust.
Automate recurring Finance reporting and deliveries (scheduled reports, exports, and alerts) so close and partner reporting run without manual work.
Add data quality tests and alerts so issues are caught before Finance sees them.
Partner with Finance to define metrics such as revenue, costs, volume, and contribution profit, and make them reusable across teams.
Build self-serve reporting so Finance can answer recurring questions independently.
Qualification
Hands-on dbt experienceStrong attention to detailExperience in paymentsExperience with BI as codeThings that enable a fulfilling
Required
At least 3 years of experience in analytics engineering, software engineering, or analytics with a strong data modeling focus.
Proficiency using AI tools to learn new skills, navigate unfamiliar domains, and accelerate your work, while taking responsibility for checking the output.
Strong SQL in a modern data warehouse such as BigQuery, Snowflake, or Redshift, including complex joins, window functions, and incremental logic.
Hands-on dbt experience: data modeling, testing, documentation, version control, and code review.
Experience reconciling data across systems and explaining differences down to the row.
Familiarity with financial metrics and processes, such as revenue and costs, financial statements, reconciliation, or monthly close.
Strong attention to detail: you validate results against source systems and explain assumptions, tradeoffs, and uncertainty.
Ability to work independently and collaboratively in a fast-moving startup, communicating clearly with technical and nontechnical partners.
Preferred
Experience in payments, card issuing, fintech, or stablecoins, such as settlement files, ledgers, or interchange.
Experience with BI as code, such as Lightdash, Looker, or Omni.
Python or another scripting language for automation and data checks.
Experience working directly with Finance or Accounting teams.
Experience with orchestration and ingestion tools such as Dagster, Airflow, Meltano, Fivetran, or Datastream.
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.
