Job Type
Internship
Description
About CaseWorthy
CaseWorthy builds case management software for health and human services organizations. Our applications, including ClientTrack, MediSked, and ServTracker, help nonprofits and government agencies serve people facing homelessness, aging, disability, behavioral health needs, and more. When our software works well, caseworkers spend less time on paperwork and more time with the people they serve.
About the role
As our R&D Co-Op for Data & AI, you'll spend six months on real work that ships to customers. You'll join the R&D team building our data foundation, reporting, and AI features, including Cara, the AI assistant built into CaseWorthy. You'll work alongside engineers, data specialists, and product managers, with a mentor who meets with you weekly.
What you'll do
- Build and test data pipelines that move and clean data from our applications into our analytics environment (Microsoft Fabric)
- Write SQL and Python to validate data quality and troubleshoot data issues
- Help build and improve Power BI reports and semantic models that customers use to track outcomes
- Support Cara AI work: test prompts, review AI outputs for accuracy, and help evaluate new AI features
- Document data definitions, processes, and findings so others can reuse your work
- Join sprint planning, standups, and demos with your Agile team
- Present a final project to the R&D team at the end of your term
Requirements
What you'll bring
- Currently enrolled in a bachelor's or master's program in Computer Science, Data Science, Information Systems, Statistics, or a related field
- Eligible for a co-op placement through your school for the full ~6-month term
- Coursework or project experience with SQL
- Working knowledge of Python or another programming language
- Clear written and verbal communication, and comfort asking questions
- Ability to work independently in a remote setting
- Authorized to work in the United States
Nice to have
- Experience with Power BI, Tableau, or another BI tool
- Exposure to cloud data tools (Microsoft Fabric, Azure, Databricks, or similar)
- Familiarity with large language models, prompt engineering, or AI evaluation
- Interest in health and human services, nonprofits, or public sector work
- Experience with Git and Agile teams