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Senior Data Engineer

Wat*** · Milford, MA, United States
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Milford, MA, United States112,500-187,500 USD/yearlyOnsite
Remuneration
112,500-187,500 USD/yearly
Location
Milford, MA, United States
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Job summary

Overview: Come help us transform Wat*** Corporation Transformation at Wat*** Corporation 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.

Benefits

Of pioneering science through analyticalOur employees, our products, our customers and our community.Waters complies with all applicable federal, state, and local laws.Waters is proud to be an equal opportunity workplace and is an affirmative actioAll hiring decisions are based solely on

Qualifications

  • As part of our vision for the Enterprise of the Future, we are building the data foundation required for advanced
  • 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‑Have / Plus
  • 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.
  • Company Description:
  • Wat*** Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the

Responsibilities

  • Data Engineering
  • 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.
  • Software Development
  • 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.
  • Analytics & Collaboration
  • 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.

Skills

SalesforceSAP

Degrees

AssociateDegree

Industry

AutomotiveDefenseEnergyLogisticsPharmaPublic-sector

Company size

EnterpriseSmb