Data & AI Solutions Engineer — Analyst

Deloitte France; Seattle (WA); On-site; USD 85,000 - 115,000; Full time

Job summary

Deloitte is seeking an entry-level Data & AI Solutions Engineering Analyst to join our Seattle-area team. You will work at the intersection of AI engineering, data infrastructure, and forward deployment, turning insights into deployed data-driven solutions for clients.

You'll collaborate across AI, data, and strategy teams, contribute to MVPs, and learn to scale pipelines and governance practices, with opportunities to travel up to 50% as needed.

Qualifications

• Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2027 or have completed a bachelor’s degree or higher in a data-related field
• Strong academic track record (GPA 3.0 or higher)
• Experience or coursework in data processing and analysis tools (SQL, Python, R, Power BI, Informatica) and familiarity with analytics/dataviz/big data platforms (Tableau, Hadoop, Spark, AWS/Azure/Google Cloud)
• Willingness to travel up to 50%
• Legally authorized to work in the United States without employer sponsorship now or in future
• Candidates must be at least 18 years old and reside within a commutable distance of the assigned office

Responsibilities

• Develop data-driven solutions at the intersection of AI engineering, data infrastructure, and deployment
• Build data pipelines and automate decision-making workflows
• Collaborate with Deloitte teams and client stakeholders to turn insights into scalable solutions
• Continuously learn new concepts and technologies to advance client outcomes

Skills

SQL

Python

R

Power BI

Informatica

Tableau

Hadoop

Spark

AWS

Azure

Google Cloud

Education

Pursuing Bachelor's degree in CS/Analytics

Bachelor's degree in CS/Data Science/Math/Engineering

Tools

OpenAI API

Cohere

TensorFlow

PyTorch

Vector databases

Job description

Deloitte is seeking an entry-level Data & AI Solutions Engineering Analyst to join our Seattle-area team. You will work at the intersection of AI engineering, data infrastructure, and forward deployment, turning insights into deployed data-driven solutions for clients.

You'll collaborate across AI, data, and strategy teams, contribute to MVPs, and learn to scale pipelines and governance practices, with opportunities to travel up to 50% as needed.