Legal Data Engineer Lead - AI-Driven Data Pipelines

Greenberg Traurig, LLP; Houston (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Excellent benefits package

Job summary

Greenberg Traurig, LLP is seeking a Legal Data Analyst Lead to design, develop, and maintain data-driven and AI-enabled solutions supporting legal matters and client engagements. The role oversees complex data workflows, automation, analytics, and AI projects with large, unstructured data, using advanced tech to deliver scalable, compliant results.

The ideal candidate will lead Python-based data processing, AI workflow design, and cross-team collaboration, ensuring accuracy, validation, and

Qualifications

• Bachelor’s degree in a quantitative/technical field.
• 5+ years in data engineering, analytics, or related tech discipline.
• Experience deploying AI-enabled data/workflow solutions.
• Proven ability to work with structured and unstructured data.

Responsibilities

• Design, develop, test, and maintain data workflows and AI-enabled processing.
• Develop Python-based data processing, extraction, classification, and reporting.
• Build AI workflows for extracting and structuring information from diverse sources.
• Create structured AI outputs with validation and quality-control procedures.
• Collaborate with attorneys and technical staff to translate requirements into solutions.
• Provide technical guidance and mentorship to team members.

Skills

Attention to detail

Collaboration

Analytical thinking

Python programming

Problem solving

AI/workflow design

Data validation

Human-in-the-loop design

Communication

Technical leadership

Education

Bachelor's degree in Data Analytics, Data Science, CS or related

Tools

Python

SQL

Microsoft SQL Server

REST APIs

JSON

Git

Azure

Power BI

Azure Data Factory

SSIS

Job description

Greenberg Traurig, LLP is seeking a Legal Data Analyst Lead to design, develop, and maintain data-driven and AI-enabled solutions supporting legal matters and client engagements. The role oversees complex data workflows, automation, analytics, and AI projects with large, unstructured data, using advanced tech to deliver scalable, compliant results.

The ideal candidate will lead Python-based data processing, AI workflow design, and cross-team collaboration, ensuring accuracy, validation, and