Data Analytics Engineer

Mcdermott Will & SchulteBuild 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 DescriptionThe 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 ResponsibilitiesDesign and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firmBuild and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricingSupport the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery modelsDevelop and manage data pipelines and queries to support pricing analysis and reportingModernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutionsDesign and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfacesIntegrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-makingCollaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven toolsEstablish feedback loops to track performance and continuously improve pricing models, tools, and methodologiesDevelop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine mattersDesign pricing processes to be natively executable using AI toolsDesign and maintain a centralized pricing data layer to support consistent data access and usabilityEnhance data granularity to enable detailed pricing analysis across phase, task, and resource levelsEnsure consistency, transparency, and governance across all pricing data, tools, and methodologiesJob SpecificationsBachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferredStrong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutionsExperience working with AI platforms, automation tools, or AI-enabled workflows preferredKnowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferredStrong mathematical and analytical skillsAbility to work under tight deadlines and prioritize responsibilitiesSuccessful 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 - $169,000Please 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:While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hearEmployee must occasionally lift up to twenty (20) poundsWork Environment: Typical indoor office environmentDisclaimer: 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.