Data & AI Solutions Engineer - Entry Level

Deloitte France

San Diego (CA)

On-site

USD 85,000 - 115,000

Full time

11 days ago
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Job summary

Deloitte is seeking an entry-level Data & AI Solutions Engineering Analyst in the United States. You will work at the intersection of AI engineering, data infrastructure, and forward deployment, turning insights into data-driven solutions and scalable platforms.

You’ll collaborate across AI, data, and client teams, shaping agentic workflows and pipelines to enable rapid, responsible AI deployment. This role emphasizes learning, innovation, and hands-on execution.

Qualifications

  • Must be currently enrolled and expected to graduate by Spring/Summer 2027 or have completed a bachelor’s degree or higher in a related field.
  • Strong academic record (GPA 3.0+).
  • Experience with data processing and analysis tools (SQL, Python, R, Power BI, Informatica).
  • Familiar with analytics, data visualization, or big data platforms (Tableau, Hadoop, Spark, AWS, Azure, Google Cloud).
  • Ability to travel up to 50% and legal right to work in the United States.

Responsibilities

  • Extract, transform, merge, and analyze data sets for actionable business insights.
  • Drive data lifecycle, analytics concepts, and solution development to deliver impact.
  • Communicate clearly and collaborate with Deloitte teams and client stakeholders.
  • Learn and implement new concepts, frameworks, and technologies.

Education

Relevant degree in CS/Data Science/Statistics/Applied Math/ MIS/ Economics/ Finance/ Business Analytics/ Engineering

Tools

SQL
Python
R
Power BI
Informatica
Tableau
Hadoop
Spark
AWS
Azure
Google Cloud

Job description

Deloitte is seeking an entry-level Data & AI Solutions Engineering Analyst in the United States. You will work at the intersection of AI engineering, data infrastructure, and forward deployment, turning insights into data-driven solutions and scalable platforms.

You’ll collaborate across AI, data, and client teams, shaping agentic workflows and pipelines to enable rapid, responsible AI deployment. This role emphasizes learning, innovation, and hands-on execution.

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