Pricing Data Engineer
Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm with 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. We are also certified by Great Place to Work.
About the role
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. This role supports scalable solutions and the integration of AI-driven capabilities to enhance pricing analysis and insights, and collaborates with cross-functional teams to align with firm standards and continuous improvement efforts. The Pricing Data Engineer works under minimal supervision, relying on significant experience to plan and accomplish objectives.
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
Benefits
- Outstanding career opportunities
- Comprehensive benefits package supporting physical, emotional, mental, and financial health
- Emphasis on work-life balance
- Discretionary bonus opportunities
Pay
Target hiring range: $110,000 - $169,000. Base pay may vary depending on job-related knowledge, skills, experience, and geographic location. Full-time positions are eligible for a discretionary bonus.
Schedule
Full time.
Physical Demands and Work Environment
- Primarily sedentary office work, requiring sitting, use of hands, reaching, stooping, talking, and hearing
- Occasional lifting of up to twenty (20) pounds
- Typical indoor office environment
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.