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About the Role
We are seeking a Senior Data Engineer to join our Data team, responsible for ensuring the reliability of data critical to Finance stakeholders. This full-stack role involves building and maintaining data pipelines, transformations, and models that convert billing and usage data into essential revenue, forecasting, and reporting infrastructure. You will collaborate closely with Finance to understand metric usage and ensure accuracy, taking full ownership of your area, setting technical direction, and elevating the team's financial data infrastructure practices.
Responsibilities
- Own pipelines that bring billing, usage, and contract data into the warehouse reliably, including metered usage across multiple products.
- Diagnose and resolve data quality and freshness issues at the source, not just downstream.
- Design and maintain dbt models that turn raw billing and usage data into clean, trusted datasets for revenue recognition, margin, and forecasting.
- Set testing and documentation standards so models hold up to the accuracy bar Finance requires when reconciling usage-based revenue against contracts.
- Build datasets and semantic models that power the dashboards and reports Finance leadership uses for planning, forecasting, and close.
- Reduce reliance on one-off requests by designing for self-service.
- Work with Finance leaders (FP&A, Accounting, Revenue) to understand what they need from the data and why, and push back when the ask doesn't match the underlying question.
- Build pipeline and transformation code to a high engineering bar, and hold others to it through code review.
- Mentor other engineers and help set technical standards for the team.
Requirements
- 4+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end.
- Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis.
- Hands-on experience with dbt (or a comparable transformation framework), dimensional/data modeling, and modern ELT/ETL workflows, including orchestration tooling (e.g., Airflow, Dagster).
- Direct experience with Finance data, ideally including usage-based billing, revenue recognition, or financial close/forecasting metrics, with genuine fluency in how those metrics are defined and used.
- Proven ability to partner with non-technical stakeholders, translating ambiguous business questions into technical specs and durable data models, not just taking requirements at face value.
- Strong communication skills, including presenting technical trade-offs to both technical and business audiences.
- A track record of technical ownership, with the judgment to make architecture decisions independently and mentor other engineers.
- Comfort with the accuracy and auditability standards Finance data requires (e.g., reconciliation, versioning, clear lineage).
Skills
- SQL
- Python
- dbt
- dimensional modeling
- data modeling
- ELT
- ETL
- orchestration tooling
- Airflow
- Dagster
Location
- San Francisco, CA
Work Type
- Full-time
Experience Level
- Senior
Salary/Compensations
- $170,000 - $260,000
Benefits
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Mentorship and event attendance for professional development.
- Flexible Time Off.
- Company-provided gear and WFH budget.
About the Company
- Vercel is the agentic infrastructure company, freeing people and agents to ship what’s next.
- Vercel has shaped web development for over a decade, creating products like Next.js, v0, and AI SDK.
- The company is building the platform for a future where software is built, extended, and operated by agents.
- Vercel is trusted by companies like OpenAI, PayPal, Ramp, and Supreme, and millions of developers worldwide.
Equal Opportunity
- Vercel is committed to fostering and empowering an inclusive community within our organization.
- We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law.
- Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.