Senior Data Engineer

Waters Corporation • Milford, MA

6d

About The Position

Waters Corporation Transformation 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 data-driven automation across the enterprise. This work enables smarter decision-making, scalable automation, and faster realization of business value. This is an opportunity to join a team working on meaningful, real-world data problems at the center of Waters’ transformation. The Senior Data Engineer is a hands-on 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, high-quality code, and collaboration with peers across data and analytics teams. You will work on well-defined problems, contribute to existing data platforms, and continuously grow your technical skills while delivering value to the business.

Requirements

• 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.

Nice To Haves

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

Responsibilities

• Build and maintain data pipelines that ingest, validate, transform, and store structured and semi-structured 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior