Data Engineer opportunity in New York

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 by a 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.

Hybrid Location: New York

Job Description

• Key Responsibilities
• Ingestion & Bronze
• Build and operate ingestion into a Delta raw landing zone on GCS using Lakeflow Connect managed connectors, Zerobus, structured streaming, and batch ETL/ELT
• Ingest transaction signals, behavioural events, and third-party identity graphs - LiveRamp RampID, UID2, GCLID chains, and household device graphs
• Own schema enforcement and evolution at the landing boundary, so upstream change surfaces as a controlled event rather than a downstream failure

• Unstructured Processing (Bronze → Silver)
• Build the SLM/LLM document-processing tier that converts unstructured blobs - Adobe AEM exports, asset libraries, PDFs, brand guidelines, compliance rule sets, creative - into governed Silver tables
• Implement parsing and OCR, entity extraction, data hygiene and deduplication, normalisation and mapping, schema inference and enforcement, and PII detection and masking as pipeline stages with measurable quality gates
• Treat model-based extraction as a transformation step under test, with validation and deterministic fallbacks - not as a black box

• Silver - Identity, Features, Model Serving
• Implement identity resolution at scale: deterministic matching, probabilistic graph construction, and household- and device-level cluster assembly across 1B+ data points
• Own feature engineering and the data-quality expectations framework - reconciliation, lineage, deduplication - reducing manual reconciliation cycles from weeks to hours
• Build and operate the serving layer behind the analytical model agents: MTA (7- and 28-day), MMM, incrementality, LTV:CAC, cohorts, reach/frequency, cobrand overlap, channel viability, card activation, product holdings, scenario reallocation, and channel universe

• Gold - Serving & Clean Room
• Maintain clean room connectors and privacy-preserving data exchange pipelines across GMP, AMC, XMi, LiveRamp DCR or equivalent, at both aggregate and row level
• Serve the Gold layer the compliance agent tier reads, including the product-terms and compliance-rule data required for factual claim verification
• Build activation integrations to owned channels and paid media, supporting real-time audience push and match-rate monitoring

• Platform & Governance
• Own Unity Catalog governance: access control, lineage, and tenant isolation across client organisations
• 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
• Own CI/CD, infrastructure-as-code, cost management, and pipeline observability
• Meet the serving contract the agentic layer depends on: a fixed set of signal shapes, queried live on every conversational turn, with predictable latency and per-client isolation

• Required Qualifications
• 5+ years of data engineering experience, including production Databricks work: Delta Lake, Unity Catalog, Lakeflow/DLT pipelines, structured streaming, and SQL warehouses
• Working GCP fluency - BigQuery, Cloud Storage, Cloud Run, IAM
• Expert-level SQL and strong Python for transformation logic and data-quality automation
• Hands-on experience with at least one clean room technology, with a real understanding of aggregate versus row-level constraints
• Deep understanding of identity resolution: deterministic matching, probabilistic graph construction, household-level aggregation, and device graph assembly
• Strong PII governance knowledge in financial services: data residency, consent frameworks, GLBA, Fair Lending, and UDAAP
• CI/CD and infrastructure-as-code experience for data platforms
• Ability to operate in client-facing consulting delivery contexts - translating business requirements into technical specifications

The base compensation range for this role in the posted location is: $86129 to $127189

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. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

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 cap