Data Engineer, Global Affairs

Minimum qualifications:

• 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.