Data Engineer II
deloitteAkron (OH)
About the role
Overview:
As a Data Engineer Consultant, you will design and deliver analytics assets that power AI-driven human capital insights. You’ll support data architecture for GenAI and large language model applications, ensuring secure, scalable data from ingestion to consumption. You will build dashboards and analytics products that translate workforce data into actionable recommendations. You will work with cross-functional teams to embed AI capabilities and govern data across client solutions. This role offers the chance to shape workforce analytics at scale within Deloitte’s HC Forward practice.
Responsibilities:
Design, develop, and deliver analytics solutions for complex workforce challenges across industries Build and maintain scalable data pipelines and dashboards using SQL and Tableau (or equivalent tools) Translate ambiguous business problems into structured analytical approaches and present findings to technical and non-technical audiences Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies Support business development through proposals, client presentations, and thought leadership content Create executive-ready reports and dashboards that make workforce data accessible and actionable Own end-to-end data solutions from modeling to stakeholder presentations, with strong governance, lineage, and monitoring
Key requirements:
Bachelor in Science (STEM) 2+ years in data science, data engineering, or analytics 2+ years in modern data & AI engineering (data modeling, batch/streaming pipelines, structured/unstructured processing, feature engineering/serving) 1+ years with ML concepts, LLM applications, or AI-augmented analytics 2+ years of Python or R for statistical modeling and data wrangling; proficiency with Databricks or Snowflake 0–25% travel; eligible to work legally in the United States without sponsorship Ability to work independently and in teams Effective written and verbal communication Attention to detail and quality SQL Tableau or equivalent visualization platform Python or R for data science and data wrangling
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