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Senior Data EngineerSaint-Gobain North America • Oklahoma City, Oklahoma, United States
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Senior Data Engineer

Saint-Gobain North America
  • US
    Oklahoma City, Oklahoma, United States
  • US
    Oklahoma City, Oklahoma, United States
Postuler Maintenant

À propos

About Verifi 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. Job Summary The Senior Data Engineer will be responsible for owning the AI and data pipeline for the engineering organization, acting as the subject matter expert around Verifi’s data. Reporting to the CTO, this role is a key part of the engineering organization, working across teams to set standards around secure and scalable data access, including real-time streams. This highly visible role helps drive the architecture for Verifi’s data backend. Responsibilities Architect real-time, transactional, and reporting data pipelines Design the data backend using existing technologies (e.g., Azure Data Explorer, SQL Server) Develop a universal semantic layer to automate recurring reports, eliminating manual Tableau workbook intervention, making data available via REST and GraphQL APIs Integrate, deploy predictive machine learning models directly into the data pipeline for real-time predictions Analyze data backend performance and eliminate bottlenecks Collaborate across disciplines between development, data science, and product teams Communicate effectively, strongly verbal and written skills, organized and detail-oriented Qualifications Education: Bachelor’s Degree in Computer Science or related field Experience: 7+ years of data engineering experience with machine learning and model development; 7+ years designing data pipelines for both real-time, transactional, and reporting scenarios Proficient in Kusto Query Language (KQL) with 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 Experience Experience with Azure Machine Learning Knowledge of Python for data analysis and mining Compensation Salary: $111,000 - $177,000 per year (base). Eligible for an annual bonus (target 23% of base). Total Target Cash range: $130,134 to $217,710. Benefits Employees have the flexibility to choose the benefits that best fit their individual needs: Medical, Prescription Drug, Vision, and Dental Insurance Healthcare Savings Account and Flexible Spending Account options LiveWell Wellness Program Employee Assistance Program (EAP) Paid Time Off and Paid Parental Leave 401(k) with Company Match, Retirement Accumulation Plan (RAP), Cash Balance Pension Plan Company-provided Life Insurance, AD&D, Short-Term Disability Voluntary employee and dependent life insurance, Long-Term Disability, Critical Illness, and Accident Insurance Additional Benefits – Helping shape the experience and impact you want. Legal Statement Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.
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  • Oklahoma City, Oklahoma, United States

Compétences linguistiques

  • English
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