Principal Data Engineer

Overview

Come help us transform Waters Corporation (NYSE: WAT) The Transformation team at Waters 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. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support data‑driven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations. This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.Come help us transform Waters Corporation (NYSE: WAT) The Transformation team at Waters 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. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support data‑driven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations. This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.Come help us transform Waters Corporation (NYSE: WAT) The Transformation team at Waters 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. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support data‑driven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations. This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.

Come help us transform Waters Corporation (NYSE: WAT)

Come help us transform Waters Corporation (NYSE: WAT)Come help us transform Waters Corporation (NYSE: WAT)

The Transformation team at Waters 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. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support data‑driven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations.

The Transformation team at Waters 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. As part of our transformation journey, we are building the data foundations required for both integration and advancing technologies, including Agentic AI. These capabilities support data‑driven decisions across the enterprise, enabling better insights, improved processes, and more efficient operations.

This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.

This is a unique opportunity to join a team at the center of Waters’ transformation, working on high‑impact initiatives that shape the future of our enterprise. As a Principal Data Engineer, you will be a senior technical contributor who partners closely with data, analytics, and product teams. You will bring deep technical expertise, operate with a high degree of independence, and contribute to the design and delivery of scalable data solutions while mentoring others and influencing best practices.Principal Data Engineer

Responsibilities

The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily hands‑on, with opportunities to contribute to system design, code quality, and cross‑team collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders. Key Responsibilities Data Engineering Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi‑structured data, including large data frames and matrices.Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability. Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust. Software Engineering Develop production‑grade Python code using strong OOP and functional programming practices. Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability. Participate actively in code reviews, automated testing, and source control workflows. Analytics & ML Enablement Partner with Data Scientists and Analysts to ensure data is model‑ready, reproducible, and well understood. Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily hands‑on, with opportunities to contribute to system design, code quality, and cross‑team collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders. Key Responsibilities Data Engineering Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi‑structured data, including large data frames and matrices.Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability. Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust. Software Engineering Develop production‑grade Python code using strong OOP and functional programming practices. Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability. Participate actively in code reviews, automated testing, and source control workflows. Analytics & ML Enablement Partner with Data Scientists and Analysts to ensure data is model‑ready, reproducible, and well understood. Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily hands‑on, with opportunities to contribute to system design, code quality, and cross‑team collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders. Key Responsibilities Data Engineering Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi‑structured data, including large data frames and matrices.Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability. Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust. Software Engineering Develop production‑grade Python code using strong OOP and functional programming practices. Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability. Participate actively in code reviews, automated testing, and source control workflows. Analytics & ML Enablement Partner with Data Scientists and Analysts to ensure data is model‑ready, reproducible, and well understood. Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.

The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily hands‑on, with opportunities to contribute to system design, code quality, and cross‑team collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders.

The Principal Data Engineer designs, builds, and enhances robust data pipelines and platforms that support analytics, machine learning, and operational monitoring. This role is primarily hands‑on, with opportunities to contribute to system design, code quality, and cross‑team collaboration. You will be a key problem solver for complex data challenges and a trusted partner to both technical and business stakeholders.robust data pipelines and platforms

Key Responsibilities

Key ResponsibilitiesKey Responsibilities

Data Engineering

Data EngineeringData Engineering

• Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi‑structured data, including large data frames and matrices.

Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist structured and semi‑structured data, including large data frames and matrices.scalable, reliable data pipelines

• Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability.

Contribute to data platform and pipeline design for analytics, machine learning, and Agentic AI workloads, with a focus on performance, reliability, and maintainability.data platform and pipeline design for analytics, machine learning, and Agentic AI workloads

• Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust.

Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust.data quality checks, validation logic, and monitoring dashboards

Software Engineering

Software EngineeringSoftware Engineering

• Develop production‑grade Python code using strong OOP and functional programming practices.

Develop production‑grade Python code using strong OOP and functional programming practices.productiongrade Python code

• Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.

Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.

• Participate actively in code reviews, automated testing, and source control workflows.

Participate actively in code reviews, automated testing, and source control workflows.code reviews, automated testing, and source control workflows

Analytics & ML Enablement

Analytics & ML EnablementAnalytics & ML Enablement

• Partner with Data Scientists and Analysts to ensure data is model‑ready, reproducible, and well understood.

Partner with Data Scientists and Analysts to ensure data is model‑ready, reproducible, and well understood.modelready, reproducible, and well understood

• Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.

Support analytical and machine learning workflows from raw data ingestion through downstream outputs and monitoring.

Qualifications

Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases. Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments. Solid understanding of source control, collaborative development workflows, and production support. Experience mentoring peers and contributing to technical best practices within a team environment. Strong communication skills and the ability to work effectively with both technical and non‑technical partners. Demonstrated drive, curiosity, humility, and ability to learn. Nice‑to‑Have / Plus Qualifications Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes. Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions. #LI-HybridRequired Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases. Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments. Solid understanding of source control, collaborative development workflows, and production support. Experience mentoring peers and contributing to technical best practices within a team environment. Strong communication skills and the ability to work effectively with both technical and non‑technical partners. Demonstrated drive, curiosity, humility, and ability to learn. Nice‑to‑Have / Plus Qualifications Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes. Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions. #LI-HybridRequired Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases. Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments. Solid understanding of source control, collaborative development workflows, and production support. Experience mentoring peers and contributing to technical best practices within a team environment. Strong communication skills and the ability to work effectively with both technical and non‑technical partners. Demonstrated drive, curiosity, humility, and ability to learn. Nice‑to‑Have / Plus Qualifications Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes. Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions. #LI-Hybrid

Required Qualifications

Required QualificationsRequired Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.

Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.8+ years of relevant industry experience

• Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.

Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.Python and SQL

• Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments.

Proven experience building and operating end‑to‑end data pipelines (ETL/ELT) in modern data environments.endtoend data pipelines

• Solid understanding of source control, collaborative development workflows, and production support.

Solid understanding of source control, collaborative development workflows, and production support.source control

• Experience mentoring peers and contributing to technical best practices within a team environment.

Experience mentoring peers and contributing to technical best practices within a team environment.

• Strong communication skills and the ability to work effectively with both technical and non‑technical partners.

Strong communication skills and the ability to work effectively with both technical and non‑technical partners.

• Demonstrated drive, curiosity, humility, and ability to learn.

Demonstrated drive, curiosity, humility, and ability to learn.drive, curiosity, humility, and ability to learn

Nice‑to‑Have / Plus Qualifications

Nice‑to‑Have / Plus QualificationsNicetoHave / Plus Qualifications

• Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.

Familiarity with process mining platforms such as Celonis, including working with event‑based data and enabling transparency into end‑to‑end business processes.process mining platforms such as Celonis

• Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions. #LI-Hybrid

Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial or service processes), with the ability to translate business processes into scalable data solutions.business domain knowledgeSAPSalesforce#LI-Hybrid