Data Engineer II

Our Human Capital practice is at the forefront of transforming the nature of work.

As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics.

We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions.

Our practice is renowned for making work better for humans and humans better at work.

Be part of this exciting era of change and join us on this transformative journey.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that meet client needs and extend our Human Capital service offerings.

Recruiting for this role ends on 10/30/2026.

Work you'll do

The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption.

You will design and operationalize modern data and retrieval foundations to support large language model (LLM)-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data and work directly with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations.

You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

You will be part of a blended onshore/offshore delivery team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.


* Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.


* Build and maintain scalable data pipelines, dashboards, and reporting frameworks using Structured Query Language (SQL) and Tableau (or equivalent visualization platforms).


* Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.


* Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.


* Support business development efforts including proposals, client presentations, and thought leadership content.


* Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.

A successful candi...