Principal Data Engineer

Principal Data Engineer

Req. #
26227

Job Family
DA - Data Analytics

Location
US-MA-Milford

Pay Range Minimum
USD $135,500.00

Pay Range Maximum
USD $225,500.00
Overview

Come help us transform Waters Corporation (NYSE: WAT)

The Transformation team 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 transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support datadriven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations.

This is a unique opportunity to join a team at the center of Waters' transformation, working on highimpact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.

Responsibilities

The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily handson, with opportunities to contribute to system design, code quality, and crossteam collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders.

Key Responsibilities
Data Engineering
Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semistructured data, including large data frames and matrices.
Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI 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.
Software Engineering
Develop productiongrade 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 & ML Enablement
Partner with Data Scientists and Analysts to ensure data is modelready, reproducible, and well understood.
Support analytical and machine learning workflows from raw data ingestion through... For full info follow application link.

Waters Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.