Senior Data Engineer

Waters Corporation is hiring a Senior Data Engineer in Milford, MA (hybrid) to design, build, integrate, and operate scalable data solutions across enterprise data and AI platforms. In this role, you will focus on secure, maintainable pipeline architecture, governed data models, and production-ready integration patterns that support analytics, AI, and agentic workflows.

• 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 for analytics, automation, AI, and operational applications, with attention to security, lineage, governance, and human oversight
  .
• Embed automated testing and validation across the pipeline lifecycle, including data-quality checks
  , regression testing,
  CI/CD
  , observability, production monitoring, and ongoing improvements to performance and reliability.
• Partner with business and technical stakeholders to define requirements and deliver scalable, robust solutions aligned to business outcomes.
• Work effectively and independently in Agile delivery models while communicating technical decisions, risks, dependencies, and outcomes to both technical and business audiences.

• 5+ years of experience in data engineering, software engineering, data science, or a related technical field, plus a Bachelor's degree in Computer Science or another relevant discipline.
• Strong software engineering foundations: object-oriented Python
  , SQL
  , modular design, data structures, debugging, source control, code review, automated testing, and production-quality, maintainable code.
• Experience designing and building robust ETL pipelines or software components to integrate, reconcile, and validate multiple data sources, including 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.
• Intrinsic motivation and technical curiosity, with the ability to learn unfamiliar technologies, debug complex code and data issues, evaluate engineering tradeoffs, and translate requirements into scalable technical solutions.

• Python
  , SQL
  , ETL
  , Celonis
  , Databricks
  , AWS
  , Azure
  , CI/CD

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

Compensation: USD 112, per year.