Senior Data Engineer: Scalable Pipelines for AI & Analytics

Waters Corporation; Milford (MA); Hybrid; USD 120,000 - 180,000; 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 such as Celonis, Databricks, AWS, and Azure. The role emphasizes governance, testing, and production-ready integration, enabling analytics and AI across a global environment.

The engineer will partner with cross-functional stakeholders to deliver measurable outcomes, establish reliable data models, automated testing, and robust pipelines for data-driven

Qualifications

• 5+ years of experience in data engineering, software engineering, or related field.
• Strong software engineering foundations: Python, SQL, modular design, debugging, code review, automated testing.
• Experience designing and building robust ETL pipelines that reconcile multiple data sources with governance and security.
• Hands-on experience with enterprise integration, CI/CD, orchestration, observability, and production support.

Responsibilities

• Design, build, test, deploy, and support robust batch and streaming data pipelines from multiple sources.
• Develop governed data models, reusable data products, and APIs powering analytics and AI.
• Embed automated testing, data-quality checks, CI/CD, and production monitoring into pipelines.
• Partner with business and technical stakeholders to deliver scalable, robust data solutions.

Skills

Python

SQL

ETL

Data pipelines

CI/CD

Testing

Data quality

Education

Bachelor's degree in Computer Science

Tools

Celonis

Databricks

AWS

Azure

Job description

Waters Corporation seeks a Senior Data Engineer to design, build, and operate scalable data solutions across enterprise data and AI platforms such as Celonis, Databricks, AWS, and Azure. The role emphasizes governance, testing, and production-ready integration, enabling analytics and AI across a global environment.

The engineer will partner with cross-functional stakeholders to deliver measurable outcomes, establish reliable data models, automated testing, and robust pipelines for data-driven