Data Engineer with Expert-level SQL

Key Responsibilities

• Pipeline Engineering
• Design and maintain high-throughput ingestion pipelines for transaction signals, behavioral events, and third-party identity graphs - including LiveRamp RampID, UID2, GCLID chains, and household device graphs
• Implement identity resolution logic at scale: deterministic matching, probabilistic graph construction, and household + device-level cluster assembly across 1B+ data points
• Build and maintain data clean room connectors and privacy-preserving data exchange pipelines (AWS Clean Rooms, LiveRamp DCR, Google ADH, or equivalent)
• Develop integrations between activation platforms (email, CDP, DSP) and the identity graph layer - supporting real-time audience push and match rate monitoring
• Data Modeling & Quality
• Design medallion-architecture or equivalent data models optimized for cohort-level LTV/CAC attribution and multi-touch attribution across owned, paid, and clean room channels
• Build automated QC and reconciliation frameworks - deduplication, compliance validation, and data lineage tracking - capable of reducing manual reconciliation cycles from weeks to hours
• Implement PII governance controls at the pipeline layer: redacted ID egress, consent signal propagation, and guardrail validation aligned to GLBA, Fair Lending, UDAAP, and TCPA/CAN-SPAM
• Platform Integration
• Integrate LLM-based APIs (e.g., Anthropic Claude, OpenAI, Vertex AI) for AI-powered signal enrichment, audience brief generation, and compliance pre-screening within pipeline workflows
• Build serverless microservices and API bridge layers connecting clean room outputs to activation destinations - using any major serverless or edge compute platform
• Maintain and evolve authentication, email notification, and managed database services supporting platform-facing APIs and client-facing tooling

Required Qualifications

• 5+ years of data engineering experience
• Expert-level SQL across at least one major cloud data warehouse: Snowflake, Google BigQuery, Amazon Redshift, or Azure Synapse
• Proficiency in Python for pipeline development, transformation logic, and data quality automation
• Hands-on experience with at least one clean room technology: AWS Clean Rooms, LiveRamp DCR, Google ADH, InfoSum, or equivalent privacy-preserving data collaboration platform
• Deep understanding of identity resolution concepts: deterministic matching, probabilistic graph construction, household-level aggregation, and device graph assembly
• Strong PII governance knowledge: data residency, consent frameworks, and financial services regulatory requirements (GLBA, Fair Lending, UDAAP)
• Experience integrating with DSPs, CDPs, or marketing activation platforms at the data layer
• Ability to operate in client-facing consulting delivery contexts - translating business requirements into technical specifications

Preferred Qualifications

• Experience with graph database technologies - Neo4j, Amazon Neptune, or TigerGraph - for identity graph storage and traversal
• Familiarity with LiveRamp Embedded Identity, UID2 token handling, or walled garden attribution integrations (Google ADH, Meta CAPI, Amazon Attribution)
• Working knowledge of LLM APIs for structured data enrichment and AI-assisted pipeline workflows"

Pay

The base compensation range for this role in the posted location is: $100,000 to $130,000.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.