Pricing Data Engineer: AI-Driven, Scalable Pricing

McDermott Will & Schulte; Los Angeles (CA); On-site; USD 110,000 - 169,000; Full time

Job summary

McDermott Will & Schulte in Los Angeles invites a Pricing Data Engineer to build and maintain the data infrastructure that underpins firm-wide, data-driven pricing. You will design scalable workflows, consolidate data from multiple systems, and lay the groundwork for AI-enabled pricing capabilities.

With minimal supervision, you will collaborate with cross-functional teams to improve pricing models, pipelines, and governance, while supporting AI integration and advanced analytics to drive better

Qualifications

• Bachelor’s degree in a related field.
• Strong SQL and Python skills with experience building scalable workflows, data pipelines, automation, APIs, and reporting solutions.
• Experience with AI platforms, automation tools, or AI-enabled workflows.
• Knowledge of cloud data warehouses and cloud-based data platforms and reporting tools.
• 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

AI workflows

Education

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance or related field

Tools

Cloud data warehouses

APIs

Reporting tools

Job description

McDermott Will & Schulte in Los Angeles invites a Pricing Data Engineer to build and maintain the data infrastructure that underpins firm-wide, data-driven pricing. You will design scalable workflows, consolidate data from multiple systems, and lay the groundwork for AI-enabled pricing capabilities.

With minimal supervision, you will collaborate with cross-functional teams to improve pricing models, pipelines, and governance, while supporting AI integration and advanced analytics to drive better