Data Engineer Intern

Roles and Responsibilities:

• Data Platform Enhancements: Improve the platform that enables analytics at Weave, including expanding the use of AI in analytics and engineering agents.
• Data Modeling: Learn and understand existing data models supporting our data and insights initiatives. Assist in the refinement and creation of new data models to enhance analytics capabilities.
• Data Analysis and Exploration: Conduct data exploration and preliminary analysis to support the identification of use cases and deep understanding of source systems.
• Data Solution Support: Assist in the maintenance, troubleshooting, and optimization of existing data pipelines and data products to ensure performance and accuracy.
• Documentation: Contribute to the documentation of data operations processes and data models to ensure clarity and maintainability.
• Collaboration: Work closely with analysts and business stakeholders to gather requirements and deliver effective data and insights solutions.

What You Will Need to Accomplish the Job

• 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.
• Proficiency in SQL for querying and manipulating data.
• Familiarity with data visualization concepts and tools.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent written and verbal communication skills.
• Ability to work independently on assigned tasks and collaborate effectively within a team environment.

What Will Make Us Love You

• Exposure to cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Familiarity with version control systems (e.g., Git).
• Experience with scripting languages like Python for data manipulation or automation.
• A strong curiosity and eagerness to learn new technologies and business domains.