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# Pricing Data Engineer

- **Company:** Mcdermott Will & Emery LLP
- **Location:** San Francisco, CA, United States
- **Salary:** $110,000.0 - $169,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Database, Information Systems, Databases, Data Infrastructure, Data Security, Data Visualization, Data Warehousing, Python (Programming Language), Systems Development Life Cycle, Standard Sql, SQL Databases, Scripting, Cloud Platform System, AI Platforms, Information Technology, Data Analytics, Data Management, Tools for Reporting, Data Pipelines
- **Published:** July 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/pricing-data-engineer-san-francisco-ca--0c577037-e719-4afc-a373-9d7cd5fc22f8

## About the Role

* 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, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Budgeting, Cloud Computing, Comparative Analysis, Compensation and Benefits, Computer Science, Continuous Improvement, Cross-Functional, Data Analysis, Data Management, Data Visualization Tools, Data Warehousing, Database Report Tools, Economics, Establish Priorities, Finance, Financial Analysis, Forecasting, Information Technology & Information Systems, Legal, Mathematics, Performance Analysis, Physical Demands, Pricing, Product Pricing, Psychiatry and Mental Health, Python Programming/Scripting Language, SQL (Structured Query Language), Sales Pipeline, Scalable System Development, Structured Data, Systems Scalability, Time Management, Usability Engineering, Workflow Analysis

## 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


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