AI-Driven Data Engineer Intern – Analytics Platform

Uncover; Lehi (UT); Hybrid; USD 28,000 - 41,000; Full time

Job summary

Weave is seeking a motivated Data Engineer Intern to gain hands-on experience in corporate finance and analytics. You will work on building and maintaining an analytics platform with AI-assisted analytics, translating business needs into data requirements and delivering data products that inform strategy.

You will collaborate with engineers and stakeholders, learn data modeling, explore data sources, and help optimize data pipelines while developing practical data engineering skills in a hybrid

Qualifications

• Currently enrolled in a Bachelor's or Master's degree program in a quantitative field.
• Foundational understanding of business intelligence concepts and data analysis principles.
• Proficiency in SQL for querying and manipulating data.
• Familiarity with data visualization concepts and tools.
• Strong analytical and problem‑solving skills with attention to detail.

Responsibilities

• Assist in data platform enhancements and AI-enabled analytics initiatives.
• Learn and refine data models to support analytics capabilities.
• Conduct data exploration to identify use cases and understand source systems.
• Support maintenance and optimization of data pipelines and products.
• Contribute to documentation of data operations and models.
• Collaborate with analysts and stakeholders to gather requirements.

Skills

SQL

Python

Data visualization

Analytical thinking

Independent work

Education

Bachelor's or Master's in CS/DS/Statistics/Economics

Tools

Git

Data modeling Concepts

BI concepts

Job description

Weave is seeking a motivated Data Engineer Intern to gain hands-on experience in corporate finance and analytics. You will work on building and maintaining an analytics platform with AI-assisted analytics, translating business needs into data requirements and delivering data products that inform strategy.

You will collaborate with engineers and stakeholders, learn data modeling, explore data sources, and help optimize data pipelines while developing practical data engineering skills in a hybrid