Senior Data Engineer — Finance Data & Revenue Platform

Webhosting; New York, Northern (NY, KY); Hybrid; USD 170,000 - 260,000; Full time

Job summary

Vercel is seeking a Senior Data Engineer to own the data pipelines, transformations, and data models that turn billing and usage data into revenue, forecasting, and reporting infrastructure used by Finance.

You will collaborate with Finance stakeholders to ensure metrics are accurate and actionable, report to the Data team’s engineering lead, and shape the data platform with a strong emphasis on reliability and self-service for insights.

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.

Job description

Vercel is seeking a Senior Data Engineer to own the data pipelines, transformations, and data models that turn billing and usage data into revenue, forecasting, and reporting infrastructure used by Finance.

You will collaborate with Finance stakeholders to ensure metrics are accurate and actionable, report to the Data team’s engineering lead, and shape the data platform with a strong emphasis on reliability and self-service for insights.