# Data Engineer, Finance at Grammarly

- Company: Grammarly
- What the company does: Grammarly makes AI writing convenient. Work smarter with personalized AI guidance and text generation on any app or website. Backed by IVP.
- Company website: https://www.grammarly.com
- Type: Startups (AI role)
- Level: Mid level
- Location: Hub - San Francisco
- Work setup: Remote
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://jobs.ashbyhq.com/Superhuman%20Platform%20Inc/4c9e87f9-6fa1-4969-90bf-1cab630a0275
- Page: https://www.1752.vc/careers/jobs/grammarly-data-engineer-finance/

## About the role

Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite. Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance.

## What they're looking for

- You have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases
- You’re highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar)
- You have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets
- You bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions
- You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment)
- You’re comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output

Tags: Engineering, Product, Design, and...