Hybrid Pricing Data Engineer — AI-Driven Analytics

McDermott; New York (NY); Hybrid; USD 110,000 - 169,000; Full time

Job summary

McDermott Will & Schulte is seeking a Pricing Data Engineer in a hybrid role across New York and other U.S. locations. You will design scalable pricing workflows, maintain centralized data infrastructure, and develop robust data pipelines for pricing analysis.

The role emphasizes AI-enabled pricing capabilities and collaboration with cross-functional teams to drive data-driven decision making. The position requires strong SQL and Python skills, experience with scalable workflows, and a

Qualifications

• Bachelor’s degree in a relevant field preferred.
• Strong SQL and Python skills with experience building scalable workflows and pipelines.
• Experience with AI-enabled workflows and automation is a plus.

Responsibilities

• Design and maintain scalable pricing workflows for matter scoping, budgeting and financial analysis.
• Build centralized pricing data infrastructure consolidating data from multiple systems.
• Develop data pipelines and queries to support pricing analysis and reporting.
• Modernize pricing workflows by reducing manual processes and enabling AI-driven insights.
• Create pricing tools like budget builders and scenario modeling interfaces.
• Collaborate with cross-functional teams to price, plan and monitor matters using data-driven tools.

Skills

SQL

Python

Data pipelines

APIs

AI platforms

Cloud platforms

Education

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

Tools

APIs

Cloud platforms

Job description

McDermott Will & Schulte is seeking a Pricing Data Engineer in a hybrid role across New York and other U.S. locations. You will design scalable pricing workflows, maintain centralized data infrastructure, and develop robust data pipelines for pricing analysis.

The role emphasizes AI-enabled pricing capabilities and collaboration with cross-functional teams to drive data-driven decision making. The position requires strong SQL and Python skills, experience with scalable workflows, and a