Sr. Data Engineer I

United States Digital Space LLC; New York (NY); Hybrid; USD 89,000 - 178,000; Full time

Job summary

DV Scibids is the AI‑powered digital campaign activation arm of DoubleVerify. Sr. Data Engineer I in New York is an onsite/hybrid role (3x/week) building backend services and robust data pipelines to power product expansion.

You will integrate external APIs, design reliable ingestion and reconciliation layers, and ensure observability and performance at scale. The ideal candidate has 3+ years in data/backend engineering with strong Python/SQL and cloud experience, plus familiarity with AdTech

Qualifications

• 3+ years in data engineering or backend engineering.
• Strong Python and SQL.
• Experience integrating with external APIs and operating production data.
• Comfort with cloud-native environments and modern engineering practices.
• AdTech/auction-system familiarity is a plus.
• AI-augmented dev style familiarity is welcome but not required.

Responsibilities

• Own and build backend services and data pipelines powering product expansion.
• Explore external partner APIs and design ingestion and reconciliation layers.
• Expose internal endpoints for other teams and keep production systems observable and scalable.

Skills

Python

SQL

API integration

Cloud

BigQuery

Docker

CI/CD

Git

Tools

BigQuery

Cloud Run

Docker

CI/CD

Git

Job description

the company | Sr. Data Engineer I | ONSITE/HYBRID - New York, NY (3x/week) | Full-time | $89K–$178K

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.