Principal Data Engineer

Responsibilities

• Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi-structured 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.
• 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.
• Enable analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.

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

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.