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, maintain data layers
implement data quality checks
develop automated dashboard suites
strong SQL knowledge
data design and modeling
Nice-to-have
Python for data modeling
version control/Git experience
cloud platform knowledge
CI/CD for data workflows
analytical and problem-solving skills
business fundamentals understanding
Key Requirements
Bachelor's Degree or equivalent experience
Experience with Tableau, PowerBI, or SSRS preferred