Data Engineer II

Deloitte is hiring a Data Engineer II consultant in Philadelphia, focused on supporting data architecture and engineering delivery for AI, machine learning, and generative AI solutions within the Human Capital practice. In this role, you’ll help build reusable analytics products and assets, moving from data modeling through production-ready pipelines, dashboards, and executive-ready reporting.

The work centers on trusted, secure, observable, and scalable data foundations that enable LLM-powered applications and workforce analytics. You will collaborate with product managers and clients, translate ambiguous business problems into analytical approaches, and deliver insights that make complex human capital data actionable.

What you’ll do

• Lead the design, development, and delivery of analytics solutions addressing complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business questions into structured analytical approaches, communicating findings and recommendations to 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.
• Support data architecture and engineering delivery for AI, ML, and GenAI solutions, ensuring data is governed and reliable from ingestion through consumption.
• Operationalize modern data and retrieval foundations for LLM-powered applications using patterns such as retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data.
• Work with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end delivery from data modeling to stakeholder presentations.
• Join 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 data governance, lineage, quality controls, and monitoring.

Required qualifications

• Bachelor’s degree in a STEM field (for example: Computer Science, Engineering, Statistics, Data Science).
• 2+ years of experience in data science, data engineering, or analytics.
• 2+ years of modern data and AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
• 1+ years of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• 2+ years using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Legally authorized to work in the United States without employer sponsorship, now or at any time in the future.

Technologies you may work with

• Artificial intelligence (AI), Machine learning (ML), Generative AI (GenAI)
• Retrieval-augmented generation (RAG), embeddings, vector search
• Python, R, Databricks, Snowflake
• Structured Query Language (SQL), Tableau
• Claude, GPT/Codex, Gemini, LLM-powered applications

Team context

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Compensation

The estimated wage range for this role is $91,100 to $179,500 per year. Deloitte notes that compensation decisions depend on factors including skills, experience and training, licensure and certifications, and other business and organizational needs, and it is not typical for an individual to be hired at or near the top of the range.