Pricing Data Engineer

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

Benefits offered by this job

Performance-based bonus

Comprehensive benefits package

Discretionary bonus

Job summary

McDermott Will & Schulte is seeking a Pricing Data Engineer in San Francisco to build and optimize data-driven pricing across the firm. You will design scalable workflows, centralize pricing data, and collaborate on AI-enabled pricing strategies to improve forecasting and decision making.

The role requires strong SQL and Python skills, experience with data pipelines, and the ability to work under deadlines. Competitive total rewards, including performance bonuses, are offered.

Qualifications

• Strong SQL and Python skills with experience building scalable workflows and data pipelines.
• Experience with AI platforms, automation tools, or AI-enabled workflows.
• Knowledge of cloud data warehouses and cloud-based data platforms and data visualization/reporting tools.
• Strong mathematical and analytical skills.
• Ability to work under tight deadlines and prioritise responsibilities.

Responsibilities

• Design and maintain scalable pricing workflows for matter scoping, budgeting and financial analysis.
• Build and maintain a centralized pricing data infrastructure across multiple systems.
• Support pricing strategies for AI-enabled legal services and new delivery models.
• Develop and manage data pipelines and queries for pricing analysis and reporting.
• Modernize pricing workflows by reducing manual processes with scalable solutions.
• Design and deliver pricing tools including budget builders and scenario modeling.
• Integrate AI capabilities into pricing workflows for better analysis and forecasting.
• Collaborate with cross-functional teams to enable data-driven pricing and monitoring.
• Establish feedback loops to track performance and improve pricing models.
• Develop pricing frameworks and unit economics to support AI-enabled work.
• Design pricing processes to be executable with AI tools.
• Maintain a centralized pricing data layer for consistent access and usability.
• Enhance data granularity for pricing analysis across phase, task, and resource levels.
• Ensure governance and transparency across pricing data, tools, and methodologies.

Skills

SQL

Python

Data pipelines

Automation

APIs

Pricing analytics

Education

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

Job description

Build your big career with the firm that does Big Law, Better. 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. We are also certified by Great Place to Work.

At McDermott, we don’t just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office.

With Us, You’ll Find

• A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!
• Enthusiasm for all perspectives: We’re smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.
• Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That’s why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.
• Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.

Job Description

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, and relies on significant experience to plan and accomplish objectives.

Essential Functions And 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

Job Specifications

• 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

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.

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. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Physical Demands And 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

Disclaimer

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.