Data Engineer

Responsibilities

• Design and maintain high-throughput ingestion pipelines for transaction signals, behavioral events, and third-party identity graphs.
• Implement identity resolution logic at scale, including deterministic matching and probabilistic graph construction.
• Build and maintain data clean room connectors and privacy-preserving data exchange pipelines (e.g., AWS Clean Rooms, Google ADH).
• Design medallion-architecture data models optimized for cohort-level attribution.
• Build automated QC and reconciliation frameworks for deduplication and compliance validation.
• Implement PII governance controls, including redacted ID egress and consent signal propagation.
• Integrate LLM-based APIs for AI-powered signal enrichment and compliance pre-screening.

Requirements

• 5+ years of data engineering experience.
• Expert-level SQL proficiency across major cloud data warehouses (Snowflake, BigQuery, Redshift, or Synapse).
• Strong proficiency in Python for pipeline development and automation.
• Hands-on experience with clean room technology (AWS Clean Rooms, LiveRamp DCR, Google ADH, or equivalent).
• Deep understanding of identity resolution concepts and device graph assembly.
• Strong knowledge of PII governance and financial services regulatory requirements (GLBA, Fair Lending, etc.).
• Experience integrating with DSPs, CDPs, or marketing activation platforms.

Preferred Qualifications

• Experience with graph database technologies such as Neo4j, Amazon Neptune, or TigerGraph.
• Familiarity with LiveRamp Embedded Identity, UID2 token handling, or walled garden attribution.
• Working knowledge of LLM APIs for structured data enrichment and AI-assisted workflows.

Benefits

• Paid time off including vacation, company holidays, personal days, and sick leave.
• Medical, dental, and vision coverage.
• Retirement savings plans (e.g., 401(k)).
• Life and disability insurance.
• Employee assistance programs.

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. With over 340,000 team members in more than 50 countries, we deliver end-to-end services leveraging market-leading capabilities in AI, cloud, and data.