Analytics Engineer, Finance

Rain; United States; Hybrid; USD 110,000 - 165,000; Full time

Benefits offered by this job

Unlimited vacation

Flexible work location

Health, dental & vision coverage

401(k) with company match

Equity plan

Wellness stipend

In-office meals

Team summits

Job summary

Rain is building the future of payments with analytics at the core. We seek an Analytics Engineer, Finance to model, reconcile, and automate our financial data, ensuring every number ties to its source.

You’ll own end-to-end data for Revenue, Costs, and Monthly Close, partner with Finance and Accounting, and raise the bar on data quality and self-serve reporting in a fast-moving startup.

Qualifications

• At least 3 years of analytics engineering, software engineering, or analytics with a strong data modeling focus.
• Proficiency using AI tools to learn new skills and verify outputs responsibly.
• Strong SQL in a modern data warehouse (BigQuery/Snowflake/Redshift) with complex joins and window functions.
• Hands-on dbt experience: modeling, testing, documentation, version control.
• Experience reconciling data across systems and explaining differences down to the row.
• Familiarity with financial metrics and processes (revenue, costs, monthly close).
• Strong attention to detail; able to work independently in a fast-moving startup.
• Ability to collaborate with both technical and non-technical partners.

Responsibilities

• Build and own finance models: ledger, settlements, card transactions, invoicing, fees.
• Run reconciliations between internal systems and external sources; investigate breaks and fix root causes.
• Support month-end close and audit-ready outputs.
• Automate recurring finance reporting, exports and alerts.
• Add data quality tests and alerts to catch issues early.
• Define metrics such as revenue, costs, volume, and contribution profit for reuse.
• Build self-serve reporting for recurring questions.
• Collaborate with data and platform engineers on ingestion and source changes.

Skills

SQL

dbt

Data modeling

Finance data

Data warehouse

Reconciliation

Python

BI tooling

Tools

BigQuery

Snowflake

Redshift

Dagster

Airflow

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 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.

What you’ll do

• 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.

• Work with data and platform engineers on ingestion and source changes, following Rain’s data standards and access policies.

What you’ll need

• 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 non‑technical partners.

Nice to have

• 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 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.