Senior Data Engineer

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 developing Agentic AI capabilities to accelerate datadriven automation across the enterprise. This work enables smarter decisionmaking, scalable automation, and faster realization of business value.

This is an opportunity to join a team working on meaningful, realworld data problems at the center of Waters' transformation.

The Senior Data Engineer is a handson contributor responsible for building, maintaining, and improving data pipelines and data assets that support analytics, machine learning, and operational reporting. This role focuses on reliable execution, highquality code, and collaboration with peers across data and analytics teams.

You will work on welldefined problems, contribute to existing data platforms, and continuously grow your technical skills while delivering value to the business., Data Engineering Build and maintain data pipelines that ingest, validate, transform, and store structured and semistructured data.

• Implement data transformations using Python and SQL, working with data frames and large datasets.
• Apply data validation and basic monitoring to ensure data quality and reliability.

Software Development

• Write clean, maintainable Python code using established coding patterns and best practices.
• Contribute unit tests and participate in code reviews to ensure quality and consistency.
• Use source control and collaborative development workflows effectively.

Analytics & Collaboration

• Work with Data Scientists, Analysts, and other engineers to prepare data for analysis and modeling.
• Help troubleshoot data issues and support downstream analytical use cases.
• Communicate clearly with team members and stakeholders about data availability, limitations, and issues.

• Bachelor's degree in Computer Science, Engineering, or a related field, plus 5+ years of relevant experience, or equivalent practical experience.
• Strong working knowledge of Python and SQL for data engineering use cases.
• Experience building and supporting ETL / ELT pipelines in modern data environments.
• Familiarity with version control, testing, and collaborative development practices.
• Ability to work independently on assigned tasks while collaborating effectively within a team.
• Strong learning mindset, curiosity, and drive.

NicetoHave / Plus Qualifications

• Exposure to process mining concepts or platforms such as Celonis, including working with eventbased data.
• Experience working with enterprise business data from systems such as SAP (supply chain, orders, revenue, pricing), Salesforce (commercial operations), or Service Excellence domains.

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 #Data Engineering #Python