Data Engineer with Expert-level SQL

Data Engineer with Expert-level SQL Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Onsite : New York Job Description 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 The base compensation range for this role in the posted location is: $100000 to $130000 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. 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 Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers 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. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Ref. code: 454400 Posted on: Apr 10, 2026 Experience Level: Experienced Professionals Contract Type: Permanent Location: New York, NY, US Brand: Capgemini Professional Community: Software Engineering #J-18808-Ljbffr Capgemini