Sr. Data Engineer

Waters Corporation; Milford (MA); On-site; USD 150,000 - 190,000; Full time

Job summary

Waters Corporation seeks a Senior Data Engineer to design, build, and operate scalable data solutions across enterprise data and AI platforms. You will bring data from multiple sources into robust pipelines, establishing reliable data models, automated testing, and production-ready integration patterns to enable analytics and AI.

You will collaborate with cross-functional stakeholders in a global environment, applying strong engineering discipline, problem-solving, and adaptability to drive

Qualifications

• 5+ years in data engineering or similar technical field with CS degree.
• Strong Python and SQL foundations; production-grade coding practices.
• Experience building ETL pipelines with data modeling and governance.
• Experience with automated testing, CI/CD, and observability.

Responsibilities

• Design, build, test, deploy, and support robust data pipelines across cloud and enterprise sources.
• Develop governed data models, reusable data products, and APIs for analytics and AI.
• Embed data-quality checks, testing, and monitoring throughout the pipeline lifecycle.
• Partner with stakeholders to define requirements and deliver scalable solutions.
• Communicate decisions, risks, and outcomes to technical and business audiences.

Skills

Python

SQL

ETL pipelines

Data Modeling

CI/CD

Testing

Education

Bachelor's degree in Computer Science or related field

Job description

Overview

Our Transformation team is focused on improving business outcomes and employee experiences through step-change improvements in enterprise processes, technology, data, analytics, and AI capabilities. The Senior Data Engineer will design, build, integrate, and operate scalable data solutions across enterprise data and AI platforms ( e.g. Celonis , Databricks, AWS , Azure ). The Senior Data Engineer will translate business needs into secure, maintainable, and reusable technical solutions, with a primary focus on bringing together data from multiple enterprise sources through robust, scalable pipelines. The role will establish reliable data models, automated testing and validation, and production-ready integration patterns that enable analytics, AI, and emerging agentic workflows. The engineer will partner with cross-functional stakeholders to deliver measurable outcomes in a complex global environment. Success requires strong engineering discipline, analytical problem solving, and adaptability .

Responsibilities

• Design, build, test, deploy, and support robust batch and streaming data pipelines that integrate and reconcile data from multiple cloud and enterprise sources using reusable, resilient patterns.
• Develop governed data models, reusable data products, and APIs that power analytics, automation, AI , and operational applications while ensuring security, lineage, governance, and human oversight.
• Embed automated testing and validation throughout the data pipeline lifecycle, including data-quality checks, regression testing, CI/CD, observability, production monitoring, and continuous improvement of performance and reliability.
• Partner with business and technical stakeholders to define requirements and deliver scalable, robust solutions that drive business outcomes.
• Work effectively and independently in Agile delivery models and clearly communicate technical decisions, risks, dependencies, and outcomes to technical and business audiences.

Qualifications

• 5 + years of experience in data engineering, software engineering, data science, or a related technical field, with a bachelor's degree in Computer Science or other relevant discipline.
• Strong software engineering foundations, including object-oriented Python, SQL, modular design, data structures, debugging, source control, code review, automated testing, and development of production-quality, maintainable code.
• Experience designing and building robust ETL pipelines or software components that integrate, reconcile, and validate multiple data sources, supported by sound data modeling, data quality, governance, security, and lifecycle management practices.
• Hands-on experience with enterprise application integration and workflow automation, including automated unit, integration, regression, and data-quality testing; CI/CD; orchestration; observability; monitoring; and production support.
• Demonstrated intrinsic motivation, technical curiosity , and problem-solving ability, including learning unfamiliar technologies, debugging complex code and data issues, evaluating engineering tradeoffs, and translating requirements into scalable technical solutions.

Preferred Qualifications

• Experience with process intelligence or process mining solutions, such as Celonis .
• Experience with supply chain processes and supporting data.

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

• #Data
• #AI
• #Python
• #ETL