Bachelor's degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience.
3 years of experience working with data infrastructure and data models by writing exploratory queries and scripts.
3 years of experience in data engineering, database querying (e.g., SQL), and developing data pipelines (Extract, Transform, and Load (ETL) with Python).
Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript.
Preferred qualifications:
Master's degree in Computer Science, Engineering, Mathematics, or a related technical field
Experience troubleshooting live, high-traffic data pipelines during critical ETL operations.
Experience developing applications used within law firms, in-house legal/compliance departments, government, or related industry experience.
Experience using AI technologies to augment, improve, or automate the development process.
Experience connecting agents to enterprise knowledge bases and enhancing Retrieval-Augmented Generation (RAG).
Ability to be flexible/adaptable in exercising judgment in a dynamic environment and to prioritize and manage tasks efficiently.