Legal Data Engineer
| Company | Goodwin |
|---|---|
| Location | Boston, MA, USA, Santa Monica, CA, USA, Washington, DC, USA, San Francisco, CA, USA, Los Angeles, CA, USA, Philadelphia, PA, USA, New York, NY, USA, Mountain View, CA, USA |
| Salary | $108800 – $194500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems or a related field, or equivalent professional experience.
- Proven experience (3+ years) working in data engineering or data science, preferably with exposure to legal domain data and legal environments.
- Strong expertise in database technologies, data modeling, ETL processes, and data warehousing solutions.
- Demonstrated experience designing and managing ontologies and schemas, with an appreciation for legal terminologies, processes, and document structures.
- Proficiency with data-oriented programming languages, frameworks and tools.
Responsibilities
- Develop and maintain comprehensive data structures, schemas and models that accurately reflect the firm’s legal services, processes and operations.
- Design and implement ontologies that capture legal concepts, relationships, and hierarchies to support semantic search and AI reasoning.
- Lead the processing and transformation of raw legal data into clean, structured formats usable for AI and analytical purposes.
- Help develop automated pipelines that ingest, validate, transform, and enrich data from various legal sources, ensuring consistency and high data quality across the board.
- Create, curate, and manage specialized datasets tailored for AI system evaluation and iterative development.
- Research and implement emerging technologies and best practices in data engineering, data processing, and legal informatics, ensuring our AI systems remain at the forefront of innovation.
- Help grow the firm’s capabilities and expertise in AI-enabled services and operations, such as by documenting designs, procedures and guidelines to ensure maintainability and facilitate knowledge sharing.
Preferred Qualifications
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No preferred qualifications provided.