Staff Software Engineer – Enterprise Data Warehouse

🕒 July 3

🍑 Georgia – Remote

🍑 Georgia – Remote

💵 $120k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 45%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 132 days.
• Jobs at this company usually fill in 29 days.
• Reposted once.

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

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

• Design, build, and operate enterprise-scale data platforms and data products within the Enterprise Data Warehouse • Develop foundational data domains, semantic layers, and downstream analytics consumers • Define architectural standards and drive platform modernization • Develop, test, deploy, and maintain software • Develop functional and destructive test suites to enable rapid production deployment • Work with the Product Team to ensure user stories are developer-ready, understandable, and testable • Collaborate with team members in agile processes • Field questions from product and engineering teams • Mentor junior engineers and lead technical discussions on modern software development frameworks • Identify team gaps and suggest changes to improve productivity • Optimize scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem

🎯 Requirements

• Must be eighteen years of age or older • Must be legally permitted to work in the United States • 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 • Bachelor's degree or equivalent degree in a field related to the job

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