Senior Data Engineer — Finance Data & Revenue Insights

Rozgoo; New York (NY); Sur place; USD 150 000 - 210 000; Plein temps

Résumé du poste

Vercel is seeking a Senior Data Engineer to own the reliability of the financial data that powers reporting, forecasting, and revenue recognition. You will build pipelines, transformations, and data models turning billing and usage data into trusted datasets.

You will work closely with Finance stakeholders to ensure metrics are correct, set technical direction, and mentor peers while raising the bar for data infrastructure.

Qualifications

• 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

Responsabilités

• 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.

Connaissances

SQL

Python

dbt

Airflow

Dagster

Data modeling

Communication

Outils

dbt

Airflow

Dagster

Description du poste

Vercel is seeking a Senior Data Engineer to own the reliability of the financial data that powers reporting, forecasting, and revenue recognition. You will build pipelines, transformations, and data models turning billing and usage data into trusted datasets.

You will work closely with Finance stakeholders to ensure metrics are correct, set technical direction, and mentor peers while raising the bar for data infrastructure.