Staff Software Engineer – Enterprise Data Warehouse

🕒 July 3

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🛒 Retail

👥 B2C

💰 Debt Financing on 2007-07

Retail • B2C

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide • Takes a broad view when approaching issues; using a global lens • Consistently achieves results, even under tough circumstances • Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production • Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm • Creates new and better ways for the organization to be successful • Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences • Collaborates with other team members in agile processes • Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions.

🎯 Requirements

• 5+ years of experience in backend data engineering or analytics platform engineering • Strong hands-on experience with cloud data warehouses (BigQuery strongly preferred) • Advanced SQL expertise and strong working knowledge of Python • Proven experience designing enterprise-grade data models, including curated/ADS datasets • Experience building and supporting semantic layers (AtScale preferred, but not required) • Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow • Strong understanding of performance tuning and cost optimization techniques in large data environments • Experience designing systems for high availability, resilience, and scalability • Ability to work across teams and influence architectural decisions without direct authority.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Professional development opportunities