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

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

Verifi, part of Saint-Gobain, is an expanding global SaaS and IoT technology company focused on the construction industry. Dedicated to connecting the physical world with intelligent software. We are revolutionizing the industrial construction space. We provide end-to-end solutions—from embedded sensors to cloud-based analytics—that help companies boost efficiency, ensure sustainability, and unlock actionable insights. We are building a supportive, high-performance team to drive the next wave of digital transformation.

Join us to build, scale, and innovate at the edge.

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

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

Certain locations require pay information be provided in job postings. Saint‑Gobain aims to deliver a comprehensive Total Rewards package to support our employees’ wellbeing and help improve daily life for themselves and their families. We believe in the importance of pay transparency in what we offer potential candidates. Provided is the national pay range for this position which is $111,000 - $177,000 per year.

However, the base pay offered may vary depending on geographic region, internal equity, job‑related knowledge, skills, and experience among other factors.

In addition to base salary, this position is eligible for an annual bonus. The targeted bonus amount is 23% of base salary based on company and individual performance measures. The Total Target Cash range (base pay and annual bonus) for this position, is $130,134 to $217,710. Bonus…