Data Engineer Intern

We’re looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an exciting opportunity to gain hands-on experience in corporate finance and analytics, working with cutting-edge tools and contributing to data-driven decision-making within our company. You’ll play a key role in developing and maintaining our analytics platform, with a focus on the thoughtful use of AI to enable agentic analytics. You will work closely with experienced engineers and stakeholders across the business to translate business needs into data requirements and then create data products that inform business strategy. - This position will be hybrid out of our Lehi, Utah HQ - Reports to: Manager of Data Operations WHAT YOU WILL OWN - 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. Employment with Weave is contingent upon the successful completion of a background check, conducted in accordance with applicable laws. At Weave, we use Artificial Intelligence (AI) tools to help us work more efficiently and create a smoother candidate experience. AI may assist with things like writing job descriptions, scheduling interviews, or reviewing applications against job-related criteria. For additional information, please review the External AI Policy Statement available on our Careers page. Weave is an equal opportunity employer that is committed to fostering an inclusive workplace where all individuals are valued and supported. We welcome anyone who is hungry to learn, problem-solve and progress regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other applicable legally protected characteristics. If you have a disability or special need that requires accommodation, please let us know. Beware of recruitment fraud. All official correspondence will occur through Weave branded email. We will never ask you to share bank account information, cash a check from us, or purchase software or equipment as part of your interview or hiring process.