Legal Data Engineer Lead

Greenberg Traurig; Miami (FL); On-site; USD 140,000 - 180,000; Full time

Job summary

Greenberg Traurig seeks a Legal Data Engineer Lead to design and maintain data-driven, AI-enabled solutions for legal matters and client engagements. You will oversee data pipelines, automation, and AI projects handling large, unstructured data, ensuring accuracy and scalability while guiding team members.

The role requires strong Python and SQL skills, experience with AI workflows, and collaboration with attorneys and tech professionals to translate requirements into production-ready analytics.

Qualifications

• Bachelor's degree in a quantitative or technical field required.
• Minimum of 5 years of progressively responsible experience in data engineering, data analytics, database development, automation, or BI.
• Proficiency in Python and SQL to develop complex data-processing and automation solutions.
• Proven ability to incorporate AI, including generative AI or NLP, into data/document workflows.
• Experience with structured outputs (JSON) and schema-based AI workflows.
• Familiarity with data extraction, validation, reconciliation, and automated quality control techniques.

Responsibilities

• Designs, develops, tests, and maintains complex data workflows and pipelines.
• Develops Python-based data processing, extraction, classification, transformation, and reporting solutions.
• Builds AI-enabled workflows to extract, summarize, and structure information from diverse data sources.
• Creates validation logic and quality-control procedures for AI outputs.
• Integrates AI capabilities with Python, APIs, databases, and cloud services.
• Collaborates with attorneys and technologists to translate legal requirements into data solutions.

Skills

Python programming

Data engineering

AI/ML concepts

SQL/dbs

Generative AI

Team collaboration

Education

Bachelor's degree in a related quantitative or technical field

Tools

Python

SQL

Azure

REST APIs

JSON

Power BI

Git

Job description

Greenberg Traurig (GT), a global law firm with locations across the world in 15 countries, has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package, along with the opportunity to work within an innovative and collaborative environment. Join our Innovation Team as a Legal Data Analyst Lead in one of our various U.S. office locations. We are seeking a highly skilled professional who thrives in a fast-paced, deadline-driven environment. The ideal candidate possesses strong problem-solving and decision-making abilities, ensuring efficiency and accuracy in every task. With a dedicated work ethic and a can-do attitude, you will take initiative and approach challenges with confidence and resilience. Excellent communication skills are essential for collaborating effectively across teams and delivering exceptional client service. If you are someone who demonstrates initiatives, adaptability, and innovation, we invite you to join our team.

Position Summary

The Legal Data Engineer Lead is responsible for designing, developing, and maintaining data-driven and AI-enabled solutions that support legal matters, client engagements, and internal business initiatives. This role oversees complex data engineering, integration, automation, analytics, and AI projects involving large, diverse, and often unstructured data sets, leveraging advanced technical expertise to deliver scalable, defensible, and high-quality solutions. The position exercises independent judgment in selecting appropriate technologies and methodologies, evaluates the accuracy and reliability of AI-assisted outputs, identifies opportunities to enhance workflows through automation and AI, and provides technical guidance to team members.

Key Responsibilities

• Designs, develops, tests, and maintains complex data workflows and pipelines incorporating traditional data engineering, automation, and AI-enabled processing techniques.
• Develops Python-based solutions for data processing, extraction, classification, transformation, validation, reconciliation, and reporting.
• Designs workflows that use generative AI, large language models, multimodal AI, or other AI technologies to extract, classify, summarize, normalize, or structure information from PDFs, documents, images, spreadsheets, and other structured and unstructured data sources.
• Develops structured AI workflows using techniques such as prompt engineering, schema-based outputs, JSON processing, validation logic, exception handling, and automated quality-control procedures.
• Integrates AI capabilities with Python, APIs, databases, cloud services, and traditional data-processing workflows to create repeatable and scalable analytical solutions.
• Evaluates AI-generated outputs for accuracy, completeness, consistency, and reliability and develop validation procedures appropriate for legal and client-facing work.
• Designs human-in-the-loop review processes and other quality-control mechanisms for AI-assisted workflows where appropriate.
• Identifies appropriate and inappropriate use cases for AI based on data sensitivity, analytical risk, accuracy requirements, confidentiality, and the intended use of the resulting work product.
• Assists in developing standards, documentation, and governance practices for the responsible use of AI within Legal Data Analytics workflows.
• Evaluates emerging AI technologies, models, platforms, and development approaches and recommend tools that can improve the efficiency, accuracy, or scalability of the department's analytical services.
• Prototypes and develops AI-enabled tools and self-service applications that automate repetitive data preparation, extraction, review, or analytical processes.
• Collaborates with attorneys and technical professionals to translate legal and business requirements into data engineering and AI-assisted analytical solutions.
• Provides technical guidance to team members on data extraction, transformation, automation, reporting, data validation, and analytics tools and processes.

Skills & Competencies

• Exceptional attention to detail, organizational skills, and commitment to data accuracy and quality assurance.
• Demonstrated collaboration and client service orientation with the ability to partner effectively across departments and business functions.
• Advanced analytical, problem-solving, and critical thinking skills with the ability to work with complex datasets and identify data quality issues, trends, and anomalies.
• Strong Python programming skills with demonstrated experience developing reusable data-processing, automation, and AI-enabled workflows.
• Familiarity with prompt engineering and techniques for producing reliable, structured outputs from generative AI systems.
• Familiarity with multimodal AI techniques for processing documents, PDFs, images, or other unstructured information.
• Ability to evaluate AI-generated results critically and design validation and quality-control procedures to identify hallucinations, omissions, inconsistencies, and other output errors.
• Understanding of human-in-the-loop design and the importance of maintaining appropriate human review for higher-risk legal and analytical applications.
• Expertise in determining when traditional programming, deterministic rules, statistical methods, or AI-based approaches are most appropriate for a particular analytical problem.
• Exposure to responsible AI concepts, including data privacy, confidentiality, security, transparency, reproducibility, and appropriate use of AI within professional services environments.
• Knowledge of data extraction and validation, reconciliation, automated quality control and document-processing techniques.
• Ability to prototype new AI-enabled analytical workflows and move successful concepts toward repeatable production processes.

Education & Prior Experience

• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related quantitative or technical field required; equivalent combination of certifications and relevant professional experience may be considered.
• Minimum of 5 years of progressively responsible experience in data engineering, data analytics, database development, automation, business intelligence, or a related technical discipline.
• Knowledge of data extraction and validation, reconciliation, automated quality control and document-processing techniques.
• Proficiency in Python and SQL to develop complex data-processing and automation solutions.
• Proven ability to incorporate artificial intelligence, generative AI, machine learning, natural language processing, or related technologies into data or document-processing workflows.
• Track record of independently developing solutions involving structured and unstructured data, including spreadsheets, databases, PDFs, documents, images, APIs, or other source formats.
• Expertise in evaluating and validating automated or AI-generated outputs in environments where accuracy and reproducibility are important.
• Practical experience incorporating generative AI or large language models into data-processing or analytical workflows.
• Working knowledge of structured AI outputs, including JSON schemas, parsing, validation, exception handling, and downstream data transformation.
• Background in supporting data-intensive environments, preferably within a law firm, legal services, professional services, consulting, compliance, human resources, financial, litigation, or employment analytics setting.
• Experience mentoring, reviewing, or providing technical guidance to less experienced technical professionals preferred.

Technology Required

• Advanced Microsoft SQL Server and T-SQL
• Python
• Microsoft Excel
• Generative AI / Large Language Models
• Prompt engineering
• REST APIs and JSON
• Structured-output and schema-based AI workflows
• Git or comparable source-control practices

Preferred

• Microsoft Azure
• Microsoft Fabric
• Azure Data Factory
• Azure SQL Database
• Azure AI services
• Azure OpenAI or comparable enterprise LLM platforms
• Power BI
• SQL Server Integration Services (SSIS)
• Multimodal AI and document intelligence technologies
• Retrieval-augmented generation (RAG) concepts
• Vector search or semantic search concepts
• AI orchestration or agent-based workflow concepts
• Machine learning or natural language processing

Physical Requirements

While performing the duties of this job, the employee is occasionally required to move from workstation or desk throughout the work area to work independently or with a team to meet with colleagues or supervisor and retrieve work assignments This position may also be sedentary and require the employee to sit for extended periods of time Requires manual dexterity to dial a telephone, enter data into a computer, handle objects, and operate tools

GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individual’s race, sex, or other protected characteristics and to the principles of non-discrimination on any protected basis.

Global scale with street smarts With 51 locations, Greenberg Traurig's global network provides the platform clients need to operate in today's legal marketplace. Our team is recognized by rankings in current Chambers & Partners Guides in jurisdictions and practices around the world, based on thousands of interviews with practicing lawyers and clients. In addition, Greenberg Traurig is proud to have more lawyers listed in The Best Lawyers in America than any other law firm, a position we have held since 2008.

Learn More Engagement, Culture & Opportunity Since 1967, we’ve built our firm by welcoming attorneys and professionals from all backgrounds who share our drive and commitment to excellence. GT thrives on the passion and drive of our people, emphasizing merit, innovation, belonging, and collaboration first. This commitment has been at the center of our story since our founding and has been essential to our and our client’s success.

Learn More We are thankful for the trust our clients place in us and we are proud of being recognized for the service we provide.

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Thank you for your diligence and for your interest in joining Greenberg Traurig.