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Deloitte

Data Engineer II

Deloitte
Philadelphia, PA $91k - $180k/yr Full time Posted 1d ago
Analytics Artificial Intelligence Business Intelligence Data Data Analysis Data Analytics Data Analytics Tools Data Architecture Data Engineer Data Integration Data Integration Tools Data Pipeline Data Platform Data Processing Data Science Ops Data Visualization Data Warehouse Database Databases Design Digital Marketing Engineer ETL Generative Ai Applications Informatica Information Technology (IT) Integration Programming Programming Language Programming Languages Rag Architectures Reporting and Analytics Software Development SQL Vector Databases Visual Design
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Job Description

Deloitte is looking for a Data Engineer Consultant to support Human Capital initiatives that apply AI, machine learning, and generative AI. In this onsite role in Philadelphia, you will help design and deliver data architecture and engineering capabilities that keep solutions trusted, secure, observable, and scalable, from ingestion to consumption. You will also contribute to HC Forward, a dedicated innovation partner building market-aligned products, platforms, and services to modernize HR experiences and outcomes.

What you’ll do

You will support data architecture and engineering delivery that enables AI, ML, and GenAI solutions, ensuring end-to-end data reliability and governance. This includes operationalizing modern data and retrieval foundations for LLM-powered applications such as Claude, GPT/Codex, and Gemini. You will work with patterns like retrieval-augmented generation (RAG), embeddings, vector search, and governed access to structured and unstructured data.

On the delivery side, you will build reusable analytics products and assets for workforce and human capital analytics. Responsibilities span the full lifecycle, from data modeling through production-ready pipelines, dashboards, and executive-ready reporting. You will collaborate directly with Human Capital product managers and clients to design and deliver data-driven solutions, translating complex requirements into structured analytical approaches and clear stakeholder presentations.

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

Responsibilities

  • Lead the design, development, and delivery of analytics solutions addressing complex workforce and human capital challenges across industries.
  • Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
  • Translate ambiguous business problems into structured analytical approaches, communicating findings 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 activities including proposals, client presentations, and thought leadership content.
  • Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data actionable.

Requirements

  • Bachelor’s degree in a STEM field (examples: 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 work and client needs.
  • Legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies you may work with

  • AI, ML, Generative AI (GenAI), RAG, embeddings, vector search
  • Python, R, SQL, Tableau
  • Databricks, Snowflake
  • Claude, GPT/Codex, Gemini, LLM-powered applications

Preferred

  • Advanced degree (MS or PhD) and/or relevant certifications.
  • Direct client-facing or consulting experience, including Human Capital platforms and integrations (Workday, SAP SuccessFactors, Oracle HCM, Salesforce) or HR data domain experience.
  • Experience operationalizing LLMOps and MLOps, including evaluation, monitoring, governance workflows, and model/prompt/version management.
  • Cloud experience on AWS, Microsoft Azure, or GCP, including managed data platforms and scalable compute patterns.
  • Experience explaining complex data and technology concepts, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.
  • Experience building repeatable analytics products (tools, models, or platforms) and applying ethics and privacy practices, including consent, PII, and bias boundaries.

Compensation

The estimated wage range for this role is $91,100 to $179,500 per year. Compensation decisions consider factors such as skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range, and decisions depend on the facts and circumstances of each case.

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