Data Engineer II

This Data Engineer II position within Deloitte’s Human Capital practice focuses on building modern data foundations and delivery capabilities to support AI, ML, and GenAI solutions, including workforce analytics and executive reporting. The role combines analytics engineering, data architecture, and retrieval-based patterns to create trusted, secure, and scalable data products for client outcomes.

Responsibilities

• 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).
• Convert ambiguous business problems into structured analytical approaches and communicate findings and recommendations to technical and non-technical stakeholders.
• Partner 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.
• Create intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Design, build, and implement reusable analytics products and assets aligned to client needs and that expand Human Capital service offerings.
• Support data architecture and engineering delivery enabling AI, ML, and GenAI solutions, with focus on data trust, security, observability, and scalability from ingestion through consumption.
• Design and operationalize modern data and retrieval foundations for LLM-powered applications, including 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 delivery from data modeling through stakeholder presentations.
• Develop dashboards, reports, and reusable analytics products that transform complex human capital data into clear insights.
• Operate within a blended onshore/offshore delivery model, collaborating with data science, ML engineering, and product stakeholders to produce production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.

Requirements

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to provide clear guidance to others.
• Bachelor’s degree in a STEM field (e.g., 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 of experience 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, clients, and industries/sectors.
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies

• SQL
• Tableau
• Python, R
• Databricks, Snowflake
• Retrieval-augmented generation (RAG), embeddings, vector search

Team

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.

Preferred

• Advanced degree, such as an MS or PhD, and/or relevant certifications.
• Direct experience in client-facing or consulting environments, including Human Capital platforms and integrations (for example: Workday, SAP SuccessFactors, Oracle Human Capital Management (HCM), Salesforce) or in HR data domains.
• Experience operationalizing large language model operations (LLMOps) and machine learning operations (MLOps), including evaluation, monitoring, governance workflows, and model/prompt/version management.
• Cloud experience on AWS, Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.
• Experience explaining complex data and technology concepts, articulating risks and trade-offs, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.
• Experience in analytics product development by building repeatable tools, models, or platforms, along with ethics and privacy practices, including recognizing consent, personally identifiable information (PII), and bias boundaries, and escalating appropriately.

Compensation

The estimated wage range for this role is $91,100 to $179,500 per year. You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, where awards, if any, depend on factors including individual and organizational performance.

Location and Work Mode

Jacksonville, FL (onsite).