Principal Data Engineer (Service)

am, data and analytics teams, and service business leaders across four commercial divisions representing $1.7B in service revenue. You will bring deep technical expertise in service business data domains, operate with a high degree of independence, and contribute to the design and delivery of scalable data platforms that enable strategic decision-making for revenue growth, margin expansion, and operational excellence initiatives targeting $200M+ in EBIT improvement.

Role Overview

The Principal Data Engineer (Service) designs, builds, and enhances robust data platforms and pipelines that integrate service delivery, financial, operational, and workforce data to support strategic planning, business case development, and performance monitoring. This role is primarily hands-on, with opportunities to contribute to platform design, data integration architecture, and cross-team collaboration. You will be a key problem solver for complex service data challenges and a trusted partner to both technical and business stakeholders driving service transformation.

Responsibilities

Data Engineering

• Design and build scalable, reliable data platforms that integrate service delivery data (work orders, cases, products, geography), service team member data (roles, locations, workloads), service revenue and cost data, and proforma P&L information to enable strategic decision-making

• Develop and maintain data pipelines that ingest, validate, transform, and persist data from enterprise systems including Salesforce, ServiceMax, SAP ERP, RingCentral, and Genesys, ensuring data quality and reliability

• Contribute to data platform design for analytics, business case modeling, capacity optimization, and operational monitoring workloads, with a focus on performance, reliability, and maintainability

• Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust across service business domains

Software Engineering

• 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

Analytics & Business Enablement

• Partner with Service Excellence leaders, Finance Business Partners, and Data Scientists to ensure data is model-ready, reproducible, and well understood for business case development, financial planning, and performance tracking

• Support analytical workflows that enable proforma P&L modeling, capacity optimization, margin analysis, and value realization tracking across service transformation initiatives

• Translate service business requirements into scalable data solutions that support revenue growth, operational excellence, and integration objectives

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

• Experience integrating and enhancing data from enterprise systems including Salesforce, ServiceMax, SAP ERP, or similar platforms

• Strong service business domain knowledge with understanding of service delivery operations, work order management, case management, service revenue and cost structures, and workforce optimization

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

• 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 Qualifications

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

• Experience with financial data modeling and integration, including P&L structures, cost allocation, and margin analysis

• Experience with capacity modeling, workforce optimization, or operational analytics in service delivery environments

• Experience with RingCentral or Genesys contact center data integration

• Experience supporting M&A integration or complex organizational change initiatives

Company Description

Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Key Words

#LI-Hybrid #Data Engineer