Data Engineer With Expert-level Sql

Capgemini

New York, NY, US
Base: $100,000 to $130,000; bonus/equity: variable...
On-site
High-throughput ingestion pipelines
Identity resolution at scale
Data clean room connectors
Design and maintain high-throughput ingestion pipelines for transaction signals, behavioral events, and third-party identity graphs

Job Summary

  • Design and maintain high-throughput ingestion pipelines for transaction signals, behavioral events, and third-party identity graphs.
  • Build and maintain data clean room connectors and privacy-preserving data exchange pipelines.
  • Integrate LLM-based APIs for AI-powered signal enrichment, audience brief generation, and compliance pre-screening within pipeline workflows.

Matching Summary

Design and maintain high-throughput ingestion pipelines for transaction signals, behavioral events, and third-party identity graphs.

Salary

Base: $100000 to $130000; Bonus/Equity: Variable incentives, bonuses, or commissions; Benefits: Comprehensive, non-negotiable benefits package

Skills & Requirements

Must-have

  • High-throughput ingestion pipelines
  • Identity resolution at scale
  • Data clean room connectors
  • Medallion-architecture data models
  • Automated QC and reconciliation frameworks
  • PII governance controls

Nice-to-have

  • Graph database technologies
  • LiveRamp Embedded Identity
  • UID2 token handling
  • Walled garden attribution integrations
  • LLM APIs for structured data enrichment

Key Requirements

  • 5+ years of data engineering experience
  • Expert-level SQL
  • Proficiency in Python
  • Hands-on experience with clean room technology
  • Deep understanding of identity resolution concepts
  • Strong PII governance knowledge
  • Experience integrating with activation platforms

Work Rights

Not specified

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