The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products, and enabling business-ready data for stakeholder needs across analytics, reporting, and AI products
Job Summary
The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products, and enabling business-ready data for stakeholder needs across analytics, reporting, and AI products.
This role will work closely with stakeholders in the business to provide automated data products in the Sales, Inventory, Customer Satisfaction, Operations, and Acquisitions space.
Clayton is dedicated to offering attainable housing, developing sustainable practices, and creating a world-class experience for both our customers and team members.
Matching Summary
The Data Engineer role is responsible for designing, building, and maintaining scalable data and semantic layers, implementing robust data quality checks for assigned data products, and enabling business-ready data for stakeholder needs across analytics, reporting, and AI products.
Skills & Requirements
Must-have
Design, build, and maintain data layers
Implement robust data quality checks
Develop automated dashboard suites
Strong knowledge of SQL
Data design and modeling expertise
Nice-to-have
Experience with Python for data
Cloud platform knowledge
Practical business fundamentals understanding
Ability to operate without direct oversight
Sound ethical judgment
Key Requirements
Bachelor’s Degree in Information Management, Business Analytics, Computer Science, Statistics or equivalent