Grammarly
Data Engineer, Finance
$157K–$245K
Hub - San Francisco +1 · Hybrid · Full-time · Posted Sep 18, 2026
- Location
- Hub - San Francisco
Hub - Seattle - Experience
- 3+ years; ideally supporting finance, revenue, billing, or other business-critical analytical use cases.
- Visa sponsorship
- US federal E-Verify program; no specific visa policy stated.
About the job
Builds and operates finance and revenue data pipelines, models, and datasets that support reporting and business decisions across the Superhuman Suite.
What you'll do
- Build and maintain pipelines and foundational datasets for billing, subscriptions, bookings, ARR, NRR, and revenue metrics.
- Develop revenue attribution datasets connecting product usage, customer lifecycle, and commercial signals.
- Ensure revenue data quality, freshness, reliability, and self-service usability in partnership with Finance, Revenue Operations, Analytics, Product, and Engineering.
What they ask for
- 3+ years building and operating production data pipelines and data platforms.
- Strong SQL proficiency and hands-on Spark experience, plus experience with a modern lakehouse or cloud data warehouse.
- Strong data modeling and data warehouse design skills.
- Experience with workflow orchestration and CI/CD for data.
Nice to have
- Experience supporting Finance, Revenue Operations, or revenue analytics, including ARR, NRR, bookings, billing, or revenue attribution.
- Experience with Stripe or similar billing, payments, ERP, or subscription-management systems.
Pay
$157K – $245K USD base salary
Tools
SQL, Spark, Databricks, Delta Lake, dbt, Snowflake, Airflow, Stripe
AI focus
Uses AI-assisted development tools such as Codex or Claude Code, validating and supervising their output.
Model-written summary · the original posting is authoritative