Location
Remote (United States)
Seniority
Principal · 1+ year exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026. The Home Depot scores B on the Alion truth index.
Overview
Company
Impact
Profile match
The Home Depot is an American home improvement retailer founded in 1978 whose founders set out to build warehouse-format stores stocking far more than traditional hardware shops could hold. It operates more than two thousand stores across the United States, Canada and Mexico, selling building materials, tools, appliances, garden supplies and decor to consumers while deriving a large and growing share of sales from professional contractors served through dedicated sales teams and distribution centres. Headquartered in Atlanta and a component of the Dow Jones Industrial Average, it acquired the building products distributor SRS in 2024 to deepen its position with professional customers.
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Key Responsibilities:- Collaborate and pair with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions.
- Document, review and ensure that all quality and change control standards are met.
- Write custom code or scripts to automate infrastructure, monitoring services, and test cases.
- Write custom code or scripts to do "destructive testing" to ensure adequate resiliency in production.
- Create meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively.
- Contribute to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment.
- Identify product enhancements (client-facing or technical) to create a better experience for the end users.
- Identify unsecured code areas and implement fixes as they are discovered with or without tooling.
- Identify, implement, and share technical solutions that can be used across the organization.
- Create and architect foundational code elements that can be reused many times by a product.
- Create meaningful architecture diagrams and other documentation needed for security reviews or other interested parties.
- Define Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work.
- Field questions from other product teams or support teams.
- Monitor tools and participate in conversations to encourage collaboration across product teams.
- Provide application support for software running in production.
- Proactively monitors production Service Level Objectives for products.
- Work with vendors and the open-source community to help identify and implement feature enhancements in software products.
- Work with other product teams to create API specifications and contracts for shared data.
- Proactively review the performance and capacity of all aspects of production: code, infrastructure, data, and message processing.
- Triage high priority issues and outages as they arise.
- Participate in and lead learning activities around modern software design and development core practices (communities of practice).
- Learn, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations.
- Attend conferences and learn how to apply new technologies where appropriate.
- Telecommuting available.
Minimum Qualifications:
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a related field and 7 years of experience in a related occupation. Requires 5 years of experience in the following skills:
- Designing and implementing Enterprise Data Warehouse architectures including Star Schema;
- Cloud-native warehouses, especially BigQuery;
- Designing highly-optimized reusable Analytical Data Sets;
- Implementing Data Governance and Security and Role-Based Access Controls;
- SQL;
- Writing SQL queries against cloud-native databases like BigQuery, on-prem databases like db2;
- Python;
- OLAP databases and aggregation strategies;
- Data-related aspects of Google Cloud Platform;
- Orchestration and DataOps to build and maintain complex data pipeline workflows;
- Optimizing cloud storage and compute costs through efficient partitioning, clustering and storage tiering strategies;
- Retail Omnichannel Integration experience managing disparate data across the retail ecosystem;
- Retail logic including sales, inventory and supply chain logic;
- Defining and guiding a team of data engineers to execute a 1-3 year data strategy balancing business needs with long-term data architecture needs;
- Translating complex business data problems into technical solutions;
- CI/CD toolchain;
- Version control systems (Git);
- NoSQL databases;
• Query optimization and troubleshooting, specifically on BigQuery with slot management.
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