Pricing Data Engineer — AI-Driven Pricing Analytics

McDermott Will & Schulte; Wilmington (DE); On-site; USD 110,000 - 169,000; Full time

Benefits offered by this job

Performance-based bonuses

Job summary

McDermott Will & Schulte seeks a Pricing Data Engineer to build and maintain the data infrastructure and tools that enable consistent, data-driven pricing across the firm, while modernizing workflows and reducing manual processes. The role supports scalable solutions and AI-driven capabilities to enhance pricing analysis and insights.

You will work with cross-functional teams to align with firm standards and drive continuous improvement, relying on significant experience to plan and achieve

Qualifications

• Bachelor’s degree or related field preferred.
• Strong SQL and Python with experience building scalable workflows and data pipelines.
• Experience with AI platforms or AI-enabled workflows preferred.

Responsibilities

• Design and maintain scalable pricing workflows across the firm.
• Build and maintain centralized pricing data infrastructure from multiple systems.
• Develop pricing strategies for AI-enabled legal services and new delivery models.
• Create data pipelines and queries to support pricing analysis and reporting.
• Modernize pricing workflows to reduce manual processes.
• Collaborate with cross-functional teams to support pricing, planning, and monitoring.

Skills

SQL

Python

Data pipelines

AI platforms

Cloud data warehouses

Education

Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance

Tools

APIs

Cloud platforms

Job description

McDermott Will & Schulte seeks a Pricing Data Engineer to build and maintain the data infrastructure and tools that enable consistent, data-driven pricing across the firm, while modernizing workflows and reducing manual processes. The role supports scalable solutions and AI-driven capabilities to enhance pricing analysis and insights.

You will work with cross-functional teams to align with firm standards and drive continuous improvement, relying on significant experience to plan and achieve