Principal Pricing Data Engineer

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.**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.**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.**

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.

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.Enterprise of the Futureartificial intelligenceAgentic AI

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.

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.Principal Pricing Data Engineerand own technical solutions for the pricing domainrobust data pipelines, platforms, and automationpricing strategy, analytics, and execution

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.**

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.**data architecture, pricing data models, and cross-functional alignment**This role is hybrid and the office is located in Milford, MA. This is NOT a remote position.**

Responsibilities

Pricing Data Engineering & ArchitectureDesign 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 pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ. Establish scalable frameworks to support global pricing governance and standardization across divisions and regions. Advanced Data Engineering & Platform DevelopmentContribute 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 EnablementPartner 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 ExcellenceDevelop 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.Pricing Data Engineering & ArchitectureDesign 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 pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ. Establish scalable frameworks to support global pricing governance and standardization across divisions and regions. Advanced Data Engineering & Platform DevelopmentContribute 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 EnablementPartner 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 ExcellenceDevelop 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.Pricing Data Engineering & ArchitectureDesign 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 pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ. Establish scalable frameworks to support global pricing governance and standardization across divisions and regions. Advanced Data Engineering & Platform DevelopmentContribute 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 EnablementPartner 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 ExcellenceDevelop 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.

Pricing Data Engineering & Architecture

Pricing Data Engineering & ArchitecturePricing Data Engineering & Architecture

• Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:

Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:

• Transactional sales data (orders, invoices, contracts)

Transactional sales data (orders, invoices, contracts)

• Price lists, discounts, rebates, and surcharges

Price lists, discounts, rebates, and surcharges

• Cost, margin, and profitability data

Cost, margin, and profitability data

• Develop and maintain pricing-specific data models, including:

Develop and maintain pricing-specific data models, including:pricing-specific data models

• Price waterfall

Price waterfall

• Customer and product segmentation hierarchies

Customer and product segmentation hierarchies

• Realized price and margin analytics

Realized price and margin analytics

• Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.

Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.end-to-end pricing data architecture

• Establish scalable frameworks to support global pricing governance and standardization across divisions and regions.

Establish scalable frameworks to support global pricing governance and standardization across divisions and regions.global pricing governance and standardization

Advanced Data Engineering & Platform Development

Advanced Data Engineering & Platform DevelopmentAdvanced 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.

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:

Build high-performance data pipelines capable of supporting:

• Large-scale transactional datasets

Large-scale transactional datasets

• Near real-time pricing insights and monitoring

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.

Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.pricing data integrity and auditability

• Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Pricing Analytics & Decision Enablement

Pricing Analytics & Decision EnablementPricing Analytics & Decision Enablement

• Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.

Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.

• Enable advanced pricing analytics, including:

Enable advanced pricing analytics, including:

• Price realization and leakage analysis

Price realization and leakage analysis

• Discount and rebate effectiveness

Discount and rebate effectiveness

• Customer/product elasticity modeling (in collaboration with data science)

Customer/product elasticity modeling (in collaboration with data science)

• Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.

Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.model-ready, traceable, and reproducible

• Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Software Engineering Excellence

Software Engineering ExcellenceSoftware Engineering Excellence

• Develop production-grade Python code using strong OOP and functional programming practices.

Develop production-grade Python code using strong OOP and functional programming practices.production-grade Python code

• Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.

Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.

• Participate actively in code reviews, automated testing, and source control workflows.

Participate actively in code reviews, automated testing, and source control workflows.code reviews, automated testing, and source control workflows.

Qualifications

Required QualificationsBachelor’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 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.Nice to Have / Plus QualificationsFamiliarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.Required QualificationsBachelor’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 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.Nice to Have / Plus QualificationsFamiliarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.Required QualificationsBachelor’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 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.Nice to Have / Plus QualificationsFamiliarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.

Required Qualifications

Required QualificationsRequired Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.

Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.8+ years of relevant industry experience

• Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.

Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.Python and SQL

• Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments.

Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments.end‑to‑end data pipelines

• Solid understanding of source control, collaborative development workflows, and production support.

Solid understanding of source control, collaborative development workflows, and production support.source control

• Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).

Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).commercial and pricing-related data

• Experience mentoring peers and contributing to technical best practices within a team environment.

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.

Strong communication skills and the ability to work effectively with both technical and non‑technical partners.

• Demonstrated drive, curiosity, humility, and ability to learn.

Demonstrated drive, curiosity, humility, and ability to learn.drive, curiosity, humility, and ability to learn

Nice to Have / Plus Qualifications

Nice to Have / Plus QualificationsNice to Have / Plus Qualifications

• Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.

Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.process mining platforms such as Celonis

• Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.

Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.business domain knowledgeSAPSalesforceService Excellence