Data Engineer II

Deloitte’s HC Forward team is an 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. In this onsite Data Engineer II role in Indianapolis, IN, you’ll help design and operationalize modern data foundations that support LLM-powered applications and analytics products for workforce and human capital challenges.

What you’ll do

• Lead the design, development, and delivery of analytics solutions for complex workforce and human capital problems across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Turn 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 activities including proposals, client presentations, and thought leadership content.
• Design and deliver executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Enable AI, ML, and GenAI solutions by supporting data architecture and engineering delivery with trusted, secure, observable, and scalable data from ingestion through consumption.
• Operationalize modern data and retrieval foundations for LLM applications, including RAG, embeddings, vector search, and governed access to structured and unstructured data.
• Work with Human Capital product managers and clients to deliver data-driven workforce analytics solutions end-to-end, from data modeling to stakeholder presentations.
• Partner with data science, ML engineering, and product stakeholders to productionize use cases with 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 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 & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
• 1+ years 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 clients.
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies you may use

• SQL, Tableau, Python, R
• Databricks, Snowflake
• Claude, GPT/Codex, Gemini
• RAG, embeddings, vector search

Preferred

• Advanced degree (MS or PhD) and/or relevant certifications.
• Client-facing or consulting experience, including Human Capital platforms and integrations such as Workday, SAP SuccessFactors, Oracle HCM, or Salesforce, or experience in HR data domains.
• Experience operationalizing LLMOps and MLOps including evaluation, monitoring, governance workflows, and model/prompt/version management.
• Cloud experience with 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, platforms) and applying ethics and privacy practices, including consent, PII, and bias boundaries.

Compensation

Salary range: USD 91,100 - 179,500 per year. Deloitte notes the range reflects a wide range of factors considered in compensation decisions.