3 days ago
USA (city not specified) +3 moreMid Level
Base Salary
$50k - $999k/yr
Responsibilities
- Build and own Finance data models for ledgers, settlements, card transactions, invoicing, fees, and collateral.
- Build reconciliations between internal systems and card networks, processors, banks, and partners; investigate discrepancies and fix root causes.
- Support month-end close and audit readiness with validated and documented outputs.
- Automate recurring Finance reports, exports, alerts, and partner deliveries.
- Implement data quality tests and alerts to identify issues before they affect Finance.
- Define reusable metrics such as revenue, costs, volume, and contribution profit with Finance partners.
- Build self-serve reporting for recurring Finance questions.
- Coordinate with data and platform engineers on ingestion, source changes, data standards, and access policies.
Requirements
- 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, navigate unfamiliar domains, and accelerate work while checking the output.
- Strong SQL experience with modern data warehouses such as BigQuery, Snowflake, or Redshift, including complex joins, window functions, and incremental logic.
- Hands-on dbt experience with data modeling, testing, documentation, version control, and code review.
- Experience reconciling data across systems and explaining differences at the row level.
- Familiarity with financial metrics and processes, including revenue, costs, financial statements, reconciliation, or monthly close.
- Strong attention to detail and the ability to validate results, explain assumptions, tradeoffs, and uncertainty.
- Ability to work independently and collaboratively while communicating with technical and nontechnical partners.
- Preferred experience in payments, card issuing, fintech, stablecoins, settlement files, ledgers, or interchange.
- Preferred experience with BI as code, such as Lightdash, Looker, or Omni.
- Preferred Python or another scripting language for automation and data checks.
- Preferred experience working directly with Finance or Accounting teams.
- Preferred experience with Dagster, Airflow, Meltano, Fivetran, or Datastream.
Benefits
- Flexible workplace with work-from-home, office, or hybrid options, plus a home workspace stipend for new employees.
- Unlimited vacation with a required minimum of 10 days off.
- For US employees, 95% coverage of employee health, dental, and vision costs and 90% coverage for dependents.
- Company-subsidized life insurance, a 401(k) with a 4% company match, and an equity option plan.
- Monthly health and wellness stipend.
- Office lunch and dinner covered through DoorDash credit.
- Domestic and international team and company offsites.
Categories
Data Engineering
About Rain
Rain builds a card issuance and payments infrastructure platform for enterprises, fintechs, and platforms to use tokenized money in real-world transactions. Its services include compliant program management, digital-asset authorization and settlement, and rails that power stablecoin-backed cards, cross-border payouts, B2B purchases, and remittances. Founded in 2021, the privately held company partners with financial institutions and neobanks worldwide and is backed by investors such as ICONIQ, Lightspeed, Khosla, Galaxy, Sapphire, and Norwest.