Data Engineer

Position 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. The position requires strong technical expertise and solid business acumen. In addition, this role delivers high-performing, automated dashboard suites that empower data-driven decision-making service analytics, and delivers high‑performing, automated dashboard suites that empower data‑driven decision making. About The Team The Enterprise Data Analytics, Engineering, and Governance team is looking for an Data Engineer to serve the Retail business unit inside Clayton. 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. Primary Qualifications Develops curated and modeled data within the platform’s semantic layer to support self‑service data products for the assigned domain. Applies dimensional modeling, semantic‑layer design principles, and business logic to create accurate, performant, and stakeholder aligned datasets. Prototypes new data products—such as dashboard suites, drag-and-drop self-service experiences, or simplified Lakehouse tables—to enable customer feedback and iteration prior to production deployment. ‑and‑drop self‑service experiences, or simplified lakehouse tables—to enable customer feedback and iteration prior to production deployment. Develops data‑quality checks and reporting to monitor critical data elements for all assigned data products, ensuring trust and reliability in business‑facing outputs. Desired Skills Excellent verbal and written communication Strong knowledge of SQL Strong knowledge of data design, data modeling, and semantic layer modeling. Experience using Tableau, PowerBI, and/or SSRS is highly preferred Experience using Python for data modeling or programming preferred Experience with version control/Git preferred Cloud platform knowledge preferred Working knowledge of CI/CD for data workflows Proven analytical and problem-solving skills including the ability to think outside of the box Must work as part of the team while capable of completing individual assignments Practical understanding of business fundamentals including Accounting and Finance Comfortable communicating with all levels of the organization Self-motivated with the capability to meet deadlines on overlapping projects Sound ethical judgment and the ability to be trusted to work with sensitive information Ability to operate without direct oversight Bachelor’s Degree in Information Management, Business Analytics, Computer Science, Statistics or equivalent formal training and work experience Clayton is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Business Unit - B00023 Technology #J-18808-Ljbffr