Pricing Data Engineer: AI-Driven Pricing & Pipelines

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

Job summary

McDermott Will & Schulte in Dallas is seeking a Pricing Data Engineer to build and maintain data infrastructure and AI-enabled pricing capabilities across the firm.

You will design scalable workflows, centralize pricing data, and collaborate with cross-functional teams to deliver data-driven insights while reducing manual processes.

This role requires strong SQL and Python, experience with data warehouses, and the ability to translate business needs into robust analytics tools.

Qualifications

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred
• Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions
• Experience with AI platforms, automation tools, or AI-enabled workflows preferred
• Knowledge of cloud data warehouses and cloud-based data platforms and data visualization/reporting tools preferred
• Strong mathematical and analytical skills
• Ability to work under tight deadlines and prioritize responsibilities

Responsibilities

• Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm
• Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing
• Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models
• Develop and manage data pipelines and queries to support pricing analysis and reporting
• Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions
• Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces
• Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making
• Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools
• Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies
• Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters
• Design pricing processes to be natively executable using AI tools
• Design and maintain a centralized pricing data layer to support consistent data access and usability
• Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels
• Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies

Skills

SQL

Python

Data pipelines

Automation

APIs

Reporting

AI platforms

Cloud data warehouses

Education

Bachelor’s degree (data-related field)

Job description

McDermott Will & Schulte in Dallas is seeking a Pricing Data Engineer to build and maintain data infrastructure and AI-enabled pricing capabilities across the firm.

You will design scalable workflows, centralize pricing data, and collaborate with cross-functional teams to deliver data-driven insights while reducing manual processes.

This role requires strong SQL and Python, experience with data warehouses, and the ability to translate business needs into robust analytics tools.