Stateside Spec Engineering jobs in the United States

The Home Depot

Software Engineer Principal

Atlanta, GA · Remote (US) · Principal

Discipline
Software
Industry
Other

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Software Engineer Principal at The Home Depot in the United States handles design, development, and operations of scalable software with a focus on data warehousing, analytics, and security. The role requires a bachelor’s degree and extensive experience with BigQuery, SQL, Python, data governance, and CI/CD.

Day shift · 7+ years · Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a related field

Required

  • Designing and implementing Enterprise Data Warehouse architectures including ...
  • Cloud-native warehouses, especially BigQuery
  • Designing highly-optimized reusable Analytical Data Sets
  • Implementing Data Governance and Security and Role-Based Access Controls
  • SQL
  • Python
  • OLAP databases and aggregation strategies
  • Data-related aspects of Google Cloud Platform

Preferred

  • CI/CD toolchain
  • Version control systems (Git)
  • NoSQL databases
  • Query optimization and troubleshooting on BigQuery

Benefits

  • medical
  • 401k
  • PTO

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Employer description

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.

Stateside Spec lists roles for engineering teams in the United States. Work-authorization notes come from the employer. We do not guarantee visa policy. Apply off-site. Report an issue with this listing View employer source