Principal Pricing Data Engineer

Waters Corporation; Milford (MA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Waters Corporation in Milford, MA seeks a Principal Pricing Data Engineer to design, build, and scale pricing data pipelines and models. You will own pricing data architecture, enable analytics and Agentic AI workloads, and partner with Global Pricing and Commercial teams to drive margin expansion.

The role combines hands-on engineering with leadership, mentoring peers, and ensuring data quality, governance, and reproducibility across the enterprise.

Qualifications

• 8+ years of relevant experience in data engineering or pricing data.
• Proficiency in Python and SQL with a focus on data pipelines.
• Experience building end-to-end ETL/ELT in modern data environments.

Responsibilities

• Design and build scalable data pipelines for pricing data (transactions, pricing, margins).
• Develop pricing-specific data models and end-to-end data pipelines.
• Mentor peers and contribute to engineering best practices.
• Partner with Global Pricing and Commercial teams to enable pricing analytics and dashboards.
• Ensure data quality, governance, and reproducibility across the enterprise.

Skills

Python

SQL

Data engineering

Pricing data modeling

Education

Bachelor's degree in CS/Engineering

Tools

Git

Cloud platforms

Job description

Overview

Transformation at Waters Corporation is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business. As part of our vision for the Enterprise of the Future, we are building the data foundation required for advanced technologies such as artificial intelligence, while actively developing Agentic AI capabilities to accelerate data-driven automation across the enterprise. This work enables smarter decision making, scalable automation, and faster realization of business value. This is a unique opportunity to join a team at the center of Waters’ transformation, working on high-impact initiatives that shape the future of the enterprise.

As a Principal Pricing Data Engineer, you will be a senior technical contributor and domain expert who partners closely with other members of the Pricing Excellence team, as well as colleagues across each Division. You will bring deep technical expertise and own technical solutions for the pricing domain, operating with a high degree of independence. You will design, build, and enhance robust data pipelines, platforms, and automation that specifically enable pricing strategy, analytics, and execution. This includes supporting advanced pricing capabilities such as price waterfall analysis, discount optimization, segmentation, and margin expansion.

This role remains hands-on but with elevated responsibility for data architecture, pricing data models, and cross-functional alignment. You will serve as a key problem solver for complex pricing data challenges and a trusted partner to both technical and business stakeholders, ensuring pricing data is accurate, accessible, and actionable across the enterprise.**This role is hybrid and the office is located in Milford, MA. This is NOT a remote position.**

Responsibilities

Pricing Data Engineering & Architecture

• Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:
  • Transactional sales data (orders, invoices, contracts)
  • Price lists, discounts, rebates, and surcharges
  • Cost, margin, and profitability data
• Develop and maintain pricing-specific data models, including:
  • Price waterfall
  • Customer and product segmentation hierarchies
  • Realized price and margin analytics
• Define and implement the end‑to‑end data pipelines (ETL/ELT) in modern data environments.
• Solid understanding of source control, collaborative development workflows, and production support.
• Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).
• Experience mentoring peers and contributing to technical best practices within a team environment.
• Strong communication skills and the ability to work effectively with both technical and non‑technical partners.
• Demonstrated drive, curiosity, humility, and ability to learn.

Advanced Data Engineering & Platform Development

• Contribute to and influence data platform design for analytics, machine learning, and Agentic AI workloads, with a focus on pricing use cases.
• Build high-performance data pipelines capable of supporting:
  • Large-scale transactional datasets
  • Near real-time pricing insights and monitoring
• Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.
• Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Pricing Analytics & Decision Enablement

• Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.
• Enable advanced pricing analytics, including:
  • Price realization and leakage analysis
  • Discount and rebate effectiveness
  • Customer/product elasticity modeling (in collaboration with data science)
• Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.
• Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Software Engineering Excellence

• Develop production-grade Python code using strong OOP and functional programming practices.
• Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.
• Participate actively in code reviews, automated testing, and source control workflows.

Qualifications

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
• Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.
• Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments.
• Solid understanding of source control, collaborative development workflows, and production support.
• Strong experience working with commercial and