Legal Data Engineer

Goodwin AgencySan Francisco, CA
226d$115,800 - $194,500

About The Position

Join Goodwin's Global Operations Team, and make a real impact on a global scale. At Goodwin, we work with some of the world's most successful and innovative investors, entrepreneurs and disruptors in the life sciences, private equity, real estate, technology and financial industries, and where they converge. As part of the Global Operations Team - all business professionals at the firm - you'll collaborate with colleagues from diverse backgrounds and experiences, fostering an environment where cross-functional learning, networking, and collaboration are at the core of what we do. Here, we're not just supporting a law firm; we're partnering with attorneys and clients to deliver cutting-edge solutions in high-stakes litigation and dispute resolution, world-class regulatory compliance and advisory services, and complex transactions. Our commitment to integrity, ingenuity, agility, and ambition drives us, and we're proud to have been recognised as the “Best Business Team” by The American Lawyer. This is your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers. We are seeking an innovative and detail-oriented data engineer who shares our passion for applying cutting-edge technology to solve complex legal and business problems and is eager to work collaboratively to pursue the Firm's strategy for technology-enabled, data-driven client service. This position will report to our Director, Legal Technology Development and work closely with other members of our development team to apply modern data standards and data engineering best practices to help us deliver on a portfolio of high impact AI initiatives across the firm.

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.

Benefits

  • 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
  • Employee recognition and reward programs
  • Employee wellness and assistance programs
  • Employee discounts and perks

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Amusement, Gambling, and Recreation Industries

Education Level

Bachelor's degree

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