We are seeking a motivated and talented Data Engineering Intern with a special focus on prompt engineering to join our growing team. This internship offers an exciting opportunity to gain hands-on experience in the field of data engineering while contributing to the development of cutting-edge natural language processing (NLP) models. The ideal candidate is a detail-oriented problem solver with a passion for data, technology, and the advancement of prompt engineering techniques
About Us
Being an early stage, category-defining company necessitates a deep understanding of our customers’ pain points, problems to solve, and areas of opportunity - all of these things help define what is possible with OnLoop in their organizations. Our founders were tired of the time-consuming yet biased and anxiety riddled traditional approaches to performance management and manager enablement to abolish an archaic industry and replace it with something new — Collaborative Team Development (CTD)
Key Responsibilities
- Collaborate with cross-functional teams to understand data requirements and assist in the design and implementation of data integration processes, with a specific emphasis on data relevant to prompt engineering
- Work with large datasets to clean, transform, and process data, ensuring its accuracy, completeness, and relevance to prompt generation
- Contribute to the development and optimization of prompts for NLP models, ensuring they align with business objectives and yield meaningful insights
- Contribute to the development and maintenance of ELT pipelines
- Perform data quality checks, specifically related to prompt data, and implement measures to ensure the integrity and consistency of data across various platforms
- Create and maintain documentation for data processes, workflows, and best practices, with a focus on prompt engineering methodologies
- Collaborate with other team members to understand business requirements and contribute to the development of prompt engineering solutions that meet those requirements
Qualifications
- Currently pursuing a degree in Computer Science, Information Systems, or a related field
- Strong programming skills, preferably in languages such as Python, Java, or SQL
- Familiarity with database systems (e.g., MySQL, PostgreSQL, MongoDB) and data modeling concepts
- Basic understanding of data integration and ETL processes
- Knowledge or coursework in natural language processing (NLP)
- Excellent analytical and problem-solving skills with a keen attention to detail
- Effective communication skills and the ability to work collaboratively in a team environment
- Eagerness to learn and adapt to new technologies, especially those related to prompt engineering
- Prior internship or coursework related to data engineering or prompt engineering is a plus