
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.
🕒 April 29
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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.
• Staff Data Engineer responsible for designing, building, and operating enterprise-scale data platforms and products • Define architectural standards and drive platform modernization • Mentor other engineers while remaining hands-on in backend data engineering efforts • Emphasize scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem • Develop, test, deploy, and maintain software • Create test suites to enable success and rapid deployment of code to production • Collaborate with the Product Team to ensure user stories are developer ready • Field questions from product and engineering teams and guide junior engineers
• 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 universal or shared semantic modeling across multiple domains or products • 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.
• Health insurance • 401(k) retirement plan • Paid time off • Professional development opportunities
Apply Now🕒 April 29
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