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Legal Data Engineer
Goodwin
$108,800 - $194,500
May 20, 2025
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
Goodwin is seeking to solve complex legal and business problems by applying cutting-edge technology and data-driven client service.
Requirements
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
Proven experience (3+ years) working in data engineering or data science, preferably with exposure to legal domain data and legal environments
Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems or a related field, or equivalent professional experience
Experience with modern data standards and data engineering best practices
Familiarity with AI and machine learning concepts and technologies
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
Help grow the firm’s capabilities and expertise in AI-enabled services and operations
Other
Bachelor's or Master’s degree in Computer Science, Data Science, Information Systems or a related field, or equivalent professional experience
3+ years of experience working in data engineering or data science
Flexible work arrangements and hybrid work schedule
Health, dental, and vision insurance
Life and disability insurance
Retirement & Savings Plan
Emergency back-up child and adult care
Paid vacation, sick time off, and holidays
Professional development and career advancement opportunities
