Data Engineer Intern - AI Analytics & Data Pipelines

weave; United States; Hybrid; USD 33,000 - 50,000; Part time

Job summary

Weave is seeking a motivated Data Engineer Intern to join our hybrid team at the Lehi HQ. You will help build and maintain our analytics platform, applying AI-enhanced approaches to data engineering and insights for business teams.

You will collaborate with experienced engineers and stakeholders to translate business needs into data requirements, develop data models, and contribute to data products that inform decisions.

Qualifications

• Currently enrolled in a Bachelor's or Master's degree program in a quantitative field such as Computer Science, Information Systems, Data Science, Statistics, Economics, or a related discipline.
• Foundational understanding of business intelligence concepts and data analysis principles.
• Experience or coursework in database concepts and data modeling basics.

Responsibilities

• Data Platform Enhancements: Improve the platform that enables analytics, including expanding the use of AI in analytics and engineering agents.
• Data Modeling: Learn and understand existing data models; assist in creating new models to enhance analytics capabilities.
• Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support use cases and understand source systems.
• Data Solution Support: Maintain, troubleshoot, and optimize existing data pipelines and data products for performance and accuracy.
• Documentation: Contribute to documentation of data operations processes and data models.
• Collaboration: Work with analysts and stakeholders to gather requirements and deliver data and insights solutions.

Skills

SQL

Python

Data Modeling

Data Analysis

BI Concepts

Git

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Weave is seeking a motivated Data Engineer Intern to join our hybrid team at the Lehi HQ. You will help build and maintain our analytics platform, applying AI-enhanced approaches to data engineering and insights for business teams.

You will collaborate with experienced engineers and stakeholders to translate business needs into data requirements, develop data models, and contribute to data products that inform decisions.