Data Engineering – Help build, maintain, and improve the data infrastructure that powers our products and analytics solutions. Work with large, complex datasets to support daily data operations, develop and optimize data ingestion pipelines, automate data processes, and monitor and troubleshoot data workflows to ensure reliable, high-quality data. Explore opportunities to use AI-assisted tools, including Claude Code, to accelerate development, automate workflows, and improve engineering efficiency.
Interns will be aligned to a team and project based on their skills, interests, academic background, and business needs.
AI & Emerging Technology
We're looking for students who are already experimenting with AI, not just learning about it in the classroom. Strong candidates will have hands-on experience using generative AI and AI-assisted development tools through coursework, personal projects, research, internships, hackathons, or other practical applications.
Experience may include tools and technologies such as Claude, Claude Code, LLMs, prompt engineering, AI-assisted coding, RAG, embeddings, vector search, AI agents, or other applied AI/ML technologies.
- We're especially interested in students who can demonstrate how they've used AI to build something, solve a problem, automate a process, analyze data, or improve the way they work—and who are curious about continuing to experiment with emerging technology.
- What You'll Need:
- Must live in the Kansas City metro area or in the Rolla, MO area
Able to work without visa sponsorship now and in the future
Education
Pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field
Juniors and above preferred (2+ years of degree experience)
Prior internship experience in data engineering, analytics, or data science is a plus
Technical Skills
Programming: Python and SQL
Additional languages: C#/.NET preferred; Java or C++ also relevant
Databases: SQL Server and relational databases; exposure to NoSQL or MongoDB is a plus
Data & Development Tools: Databricks, Spark, Git
Analytics & Visualization: Excel, Power BI, PowerPoint
Frontend Development: HTML, CSS/Sass, React, and TypeScript are a plus for Software Engineering candidates
Software & Data Engineering Skills
Understanding of object-oriented programming concepts; C#/.NET experience is preferred
Ability to troubleshoot and debug applications
Ability to write performant SQL queries against complex data models
Understanding of relational databases, data structures, and software development fundamentals
Exposure to data pipelines, ETL/ELT processes, distributed data processing, APIs, or cloud-based technologies is a plus
Familiarity with source control and collaborative development using Git
Data Science Skills
For candidates interested in the Data Science track, we're also looking for exposure to or interest in:
Statistics, probability, and exploratory data analysis
Machine learning fundamentals, including supervised and unsupervised learning
Classification and regression techniques
Model development, validation, and evaluation
Feature engineering and data preprocessing
Natural language processing (NLP)
Python data science libraries such as pandas, NumPy, scikit-learn, or similar tools
Data visualization and communicating analytical findings
Experimentation, hypothesis testing, and quantitative problem solving
Generative AI and Large Language Models (LLMs) are a plus
Exposure to prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), or other applied AI techniques is a plus
Soft Skills
Strong communication and collaboration skills
Ability to communicate data topics and results clearly
Self-motivated, proactive, and effective in a remote environment
Strong problem-solving mindset and team player attitude
