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# Senior Data Engineer; AI Models, AI Pipeline- Full Time Remote USA East Coast and Mid West

- **Company:** Saint-Gobain
- **Location:** Malvern, PA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $111,000.0 - $177,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Data Security, Python (Programming Language), Machine Learning, Microsoft SQL Server, Kusto Query Language, Azure Machine Learning, Systems Integration, Tableau (Software), Azure Data Factory, Backend, Information Technology, Graphql, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3375501993&tx=FL636FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Bachelors Degree in Computer Science or related field, 7+ years of data engineering experience with machine learning and model development

7+ years of designing data pipeline for both real-time, transactional, and reporting scenarios

Proficient in Kusto Query Language (KQL) around best practices for performance at scale

Proven ability to lead through influence rather than direct authority

Cross collaboration between disciplines, including development, data science, and product

PREFERRED WORK EXPERIENCE

Experience with Azure Machine Learning

Knowledge of Python for data analysis and mining

## Description

The Senior Data Engineer will be responsible for owning the AI and data pipeline for the engineering organization. The ideal candidate will act as the subject matter expert around Verifi's data. The role will support both development and data science teams to work with our data.

Reporting to the CTO, the Senior Data Engineer is a key part of the engineering organization working across teams to set the standards around secure and scalable data access, including real time streams.

This is a highly visible role to help drive the architecture for Verifi's data backend.

This is a unique role in Engineering driving industry proven AI and data pipelines while working with existing technologies (e.g., Azure Data Explorer, SQL Server)

 * Pipeline Architecture: Architect real-time, transactional, and reporting data pipelines
 * Infrastructure Management: Responsible for the data backend design using existing technologies (e.g, Azure Data Explorer, SQL Server)
 * Automation Focused: Designed a universal semantic layer to automate recurring reports, eliminating manual Tableau workbook intervention, making data available via REST and GraphQL APIs
 * Model Integration and Deployment: Developed and deployed predictive machine learning models directly into the data pipeline, specifically for real-time predictions
 * Efficiency and Optimization: Ability to analyze data backend performance and eliminate bottlenecks
 * Collaboration: Works across disciplines between development, data science, and product teams
 * Communication: Strong verbal and written communication skills, organized and detail oriented


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