Data Engineer

We’re looking for a sharp, detail-focused data engineer who’s passionate about using technology to solve complex challenges. If you enjoy working with structured and unstructured data, building data systems from the ground up, and contributing to AI-driven projects, this is a great opportunity to do meaningful, cutting-edge work.

You’ll be part of a collaborative team working to develop modern data infrastructure and engineering practices that support innovative AI applications in a highly specialized industry setting.

What You’ll Do:

• Build and maintain data structures, schemas, and models that represent key workflows and processes in a professional services environment
• Develop ontologies to capture domain-specific concepts, relationships, and hierarchies for use in semantic search and AI systems
• Lead the transformation of raw data into structured, high-quality formats for use in analytics and AI
• Design data pipelines that ingest, validate, transform, and enrich content from multiple sources, ensuring accuracy and consistency
• Curate and manage custom datasets that support the training and evaluation of AI models
• Stay current with emerging technologies and best practices in data engineering and legal informatics
• Document your solutions and share knowledge with technical and non-technical collaborators

• A degree in Computer Science, Data Science, Information Systems, or a related discipline — or equivalent hands-on experience
• At least 3 years of experience in data engineering or data science, ideally with exposure to complex domains such as legal, healthcare, or finance
• Strong understanding of data modeling, database systems, ETL workflows, and data warehousing
• Experience with ontology design and schema management, especially in structured document-heavy environments
• Proficiency in data-focused programming languages and tools (e.g., Python, SQL, Spark, etc.)