157K–245K USD / year
Data Engineer, Finance
DataHybrid — San Francisco, Seattle
Published on 2026-09-18
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About this role
As a Data Engineer on the Finance & Revenue team at Superhuman, you will design and build scalable data pipelines and maintain foundational datasets for various revenue metrics. This role involves collaborating with multiple teams to ensure reliable, high-quality data for financial performance analysis and decision-making.
About the company
Superhuman is an email productivity tool designed to enhance users' efficiency and workflow. The company serves professionals looking to optimize their email management through innovative features and streamlined processes.
The team
Finance & Revenue
Stack
SQLSparkDatabricksCloud data warehousedbtSnowflake
What you'll do
- Design, build, and own data pipelines for billing and revenue data.
- Maintain datasets for ARR, NRR, bookings, and revenue metrics.
- Contribute to the revenue attribution model.
- Ensure data quality and reliability.
- Collaborate with cross-functional teams.
What we're looking for
- 3+ years experience in data engineering.
- Proficiency in SQL and Spark.
- Strong data modeling and warehouse design skills.
- Rigorous approach to data quality and precision.
- Experience with CI/CD for data processes.
Nice to have
- Experience in revenue analytics.
- Familiarity with billing systems like Stripe.
- Experience with product usage data.
Benefits
- Excellent health care benefits.
- 401(k) matching.
- Paid parental leave.
- 20 days of paid time off annually.