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

Saint-Gobain is an expanding global SaaS and IoT technology company focused on the construction industry. They are seeking a Senior Data Engineer to own the AI and data pipeline, supporting development and data science teams while ensuring secure and scalable data access. This role involves architecting data pipelines, managing infrastructure, and collaborating across teams to drive digital transformation.

Responsibilities:

• 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

Requirements:

• 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
• Experience with Azure Machine Learning
• Knowledge of Python for data analysis and mining