Principal Data Engineer: Pipelines, ML & Agentic AI

Talentify; Milford (MA); Hybrid; USD 160,000 - 210,000; Full time

Job summary

Waters Corporation is seeking a Principal Data Engineer to design, build, and optimize scalable data pipelines and platforms. You will partner with data, analytics, and product teams, mentoring others and influencing best practices across the organization.

The role emphasizes hands-on development of production-grade Python code, data quality, and collaboration with cross-functional teams to enable analytics, ML, and Agentic AI workloads.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8+ years of relevant industry experience or equivalent practical experience.
• Advanced proficiency in Python and SQL with a focus on data engineering use cases.
• Experience building and operating end-to-end data pipelines (ETL/ELT).
• Strong understanding of source control and production support.
• Experience mentoring peers and contributing to best practices.

Responsibilities

• Design, build, and enhance robust data pipelines and platforms that support analytics, ML, and monitoring.
• Contribute to data platform and pipeline design for analytics, ML workloads, with emphasis on performance and reliability.
• Develop production-grade Python code following sound engineering practices and participate in code reviews and testing.

Skills

Python

SQL

Data engineering

ETL/ELT

Source control

Mentoring

Communication

Curiosity

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Celonis

SAP

Salesforce

Job description

Waters Corporation is seeking a Principal Data Engineer to design, build, and optimize scalable data pipelines and platforms. You will partner with data, analytics, and product teams, mentoring others and influencing best practices across the organization.

The role emphasizes hands-on development of production-grade Python code, data quality, and collaboration with cross-functional teams to enable analytics, ML, and Agentic AI workloads.