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Roles
Compensation
USD 89000 - 178000
$89K–$178K
- Salary period
- yearly
- Location basis
- New York, NY
Tech stack
Required
Nice to have
Location
New York, NY
Work setup
- Employment
- full-time
- Level
- Senior
- Remote policy
- ONSITE/HYBRID - New York, NY (3x/week)
- Remote scope
- unclear
Role details
Responsibilities
- Own and build backend services and data pipelines that power product expansion
- Explore external partner APIs
- Design reliable ingestion and reconciliation layers
- Expose internal endpoints for other DV teams
- Keep production systems observable and performant at scale
Requirements
- 3+ years in data engineering or backend engineering
- Strong Python and SQL
- Experience integrating with external APIs
- Experience operating production data systems at scale
- Comfort with cloud-native environments and modern engineering practices
Application
Apply via Greenhouse: https://boards.greenhouse.io/doubleverify/jobs/7513841002
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
- ats
Company context
DoubleVerify is the market standard for digital media measurement trusted by hundreds of Fortune 500 brands; DV Scibids is the AI-powered digital campaign activation arm.
- Product
- AI-powered digital campaign activation (Scibids) and digital media measurement
- Industry
- digital media measurement / adtech
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. 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.
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