AI-Powered Legal Data Engineer Lead

Greenberg Traurig, LLP; Atlanta (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Greenberg Traurig, LLP in the United States is seeking a Legal Data Engineer Lead to design, develop, and maintain AI-enabled data solutions for legal matters and client engagements.

You will lead complex data workflows, collaborate with attorneys and technical professionals, and ensure accuracy and governance in data processing, extraction, transformation, and reporting. The role requires strong Python and SQL skills and experience with AI and large language models.

Qualifications

• Bachelor's degree in a quantitative or technical field is required.
• Minimum 5 years of data engineering, analytics, or related experience.
• Proficiency in Python and SQL to develop complex data-processing solutions.

Responsibilities

• Design, develop, test, and maintain complex data workflows and pipelines.
• Develop Python-based data processing, extraction, and reporting solutions.
• Create AI-enabled workflows to extract and structure information from diverse sources.
• Collaborate with attorneys and technical teams to translate requirements into solutions.

Skills

Python programming

Data engineering

AI-enabled workflows

Prompt engineering

SQL

Multimodal AI

Human-in-the-loop

Data quality

Communication

Education

Bachelor's degree in Data Analytics

Tools

Microsoft SQL Server

Python

Excel

REST APIs

JSON

Power BI

Azure

SQL

Job description

Greenberg Traurig, LLP in the United States is seeking a Legal Data Engineer Lead to design, develop, and maintain AI-enabled data solutions for legal matters and client engagements.

You will lead complex data workflows, collaborate with attorneys and technical professionals, and ensure accuracy and governance in data processing, extraction, transformation, and reporting. The role requires strong Python and SQL skills and experience with AI and large language models.