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Today

Senior Data Engineer

Waters Corporation Milford, MA

Milford, MA

Today

$113k - $188k/yr Full time Senior Analytics Artificial Intelligence

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Job Description

The Senior Data Engineer will design, build, integrate, and operate scalable data solutions across enterprise data and AI platforms at Waters Corporation in a hybrid setup from Milford, MA. The role emphasizes secure, maintainable pipelines, governed data models, automated validation, and production-ready integration patterns for analytics, AI, and agentic workflows.

Responsibilities

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 that support analytics, automation, AI, and operational applications while ensuring security, lineage, governance, and human oversight.
Implement automated testing and validation throughout the pipeline lifecycle, including data quality checks, regression testing, CI/CD, observability, production monitoring, and continuous improvement focused on performance and reliability.
Collaborate with business and technical stakeholders to define requirements and deliver scalable, robust solutions aligned to business outcomes.
Operate effectively in Agile delivery models and communicate technical decisions, risks, dependencies, and outcomes to both technical and business audiences.

Requirements

5+ years of experience in data engineering, software engineering, data science, or a related technical field, along with a Bachelor’s degree in Computer Science or another relevant discipline.
Strong software engineering foundations, including object-oriented Python, SQL, modular design, data structures, debugging, source control, code review, automated testing, and the ability to produce production-quality, maintainable code.
Experience building robust ETL pipelines or software components that integrate, reconcile, and validate multiple data sources, supported by solid 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 problem-solving ability, including learning unfamiliar technologies, debugging complex code and data issues, evaluating engineering tradeoffs, and translating requirements into scalable technical solutions.

Technology Stack

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

Preferred Qualifications

Experience with process intelligence or process mining solutions, including Celonis.
Experience supporting supply chain processes with data.

Role Details

Location: Milford, MA (hybrid)
Salary: USD 112,500 - 187,500 per year

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3mo ago

Enterprise Integration and Data Engineer

PN Automation, Inc. Baltimore, MD

Baltimore, MD

3mo ago Closed

Up to $140k/yr Full time Backend Developer Analytics Api Integration

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

This on-site role in Baltimore, MD requires a current Top Secret clearance and U.S. citizenship. The base compensation is USD 140,000 per year, complemented by a robust benefits package that includes 401(k) with matching, dental, health, and vision insurance, paid time off, and a retirement plan. The position supports enterprise interoperability and mission-aware decision intelligence by designing APIs, data pipelines, and visualization capabilities in a secure environment.

Responsibilities

Design and develop REST APIs and integration services.
Develop data ingestion, transformation, and processing pipelines.
Implement prototype integrations across enterprise systems and cloud services.
Support enterprise data modeling and data correlation activities.
Develop dashboards and visualization capabilities.
Support testing, demonstrations, and technical evaluations.
Contribute to technical documentation and prototype deployment activities.

Requirements

Bachelor’s degree in computer science, Information Systems, Software Engineering, or related discipline.
5+ years of experience in software engineering, enterprise integration, or data engineering.
Experience with Python, Java, Node.js, or similar development technologies.
Experience developing REST APIs and microservices.
Experience with cloud platforms such as AWS and/or Azure.
Experience building ETL pipelines and data integration solutions.

Technologies

Python, Java, Node.js, AWS, Azure, SAP, ServiceNow, Oracle, MuleSoft, Celonis, Power BI, Tableau, Grafana.

Security and Eligibility Requirements

U.S. Citizens with active TS Security Clearance.

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