Job Description

DV Scibids is the AI-powered digital campaign activation arm of DoubleVerify — the market standard for digital media measurement trusted by hundreds of Fortune 500 brands. Our Data Engineering team owns the critical integrations and data flows that connect Scibids' optimization engine to the broader adtech ecosystem. In this role you will own and build backend services and data pipelines that power product expansion — exploring external partner APIs, designing reliable ingestion and reconciliation layers, exposing internal endpoints for other DV teams, and keeping production systems observable and performant at scale. Stack: Python, SQL, BigQuery, Cloud SQL, Cloud Datastore, Cloud Run (GCP), Prefect, Docker, CI/CD, Git. Java or Rust a plus. Looking for: 3+ years in data engineering or backend engineering. Strong Python and SQL. Experience integrating with external APIs and operating production data systems at scale. Comfort with cloud-native environments and modern engineering practices. AdTech/auction-system familiarity is a plus, not required. We use an AI-augmented dev style — familiarity with Claude Code or Cursor is welcome but not mandatory.