Pricing Data Engineer
About the role
McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others.
The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on manual processes.
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
Requirements
- 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 working with AI platforms, automation tools, or AI-enabled workflows preferred
- Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred
- Strong mathematical and analytical skills
- Ability to work under tight deadlines and prioritize responsibilities
Pay
Target Hiring Range $110,000 - $169,000. Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location.
Benefits
Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.
Work Environment
The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Physical Demands: While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear
- Employee must occasionally lift up to twenty (20) pounds
- Work Environment: Typical indoor office environment