Hiring: Member of the Technical Staff, GTM Company: Vercel Location: San Francisco, CA Job Posted Time: 2026-09-16 15:38:02 Employment Type: Contract Target Skills & Keywords : Airflow, Dagster, Data Pipeline, ELT, ETL, Next.js, Python, SQL, Vercel, dbt About the job Experience: •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 Required Skills: •You'll work closely with Finance stakeholders to understand how metrics are used and make sure they're right, not just build to spec. Reporting to the Data team's engineering lead, you'll have full ownership over your area, set technical direction, and help raise the bar for how the team builds financial data infrastructure. •If you want your work to directly shape how the business understands its revenue and financial performance, we'd love to hear from you. •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. Qualifications: •Strong SQL and Python skills, with experience writing production-grade, testable code, not just scripts for one-off analysis •Applied hands-on capability in 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) Compensation: •$170,000 - $260,000 / year •Competitive compensation package, including equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!