Grammarly makes AI writing convenient. Work smarter with personalized AI guidance and text generation on any app or website. Backed by IVP.
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
More about this role
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here .
The Opportunity
Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance...
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