AI & Data Pipeline Applications Engineer

Home Depot

Atlanta (GA)

On-site

USD 110,000 - 150,000

Full time

12 days ago
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Job summary

The Home Depot is seeking an Application Engineer to develop secure, scalable data pipelines and AI-enabled tools that improve profitability, efficiency, and customer experience. You will refactor prototypes, productionalize solutions, and integrate APIs and MCPs while upholding security and quality standards.

You will collaborate with data engineers, analysts, and business partners to design, build, and productionize new applications, balancing workload and prioritizing effectively in an Agile

Qualifications

  • Bachelor's or Master’s degree in a tech field required or equivalent experience.
  • 4+ years in application engineering, software development, or data engineering.
  • Proficiency in Python and SQL/BigQuery for data queries.
  • Experience designing, building, and deploying new apps from scratch.
  • Experience refactoring or modernizing code with AI-assisted tools.

Responsibilities

  • Develop, test, deploy, and maintain data pipelines and products.
  • Collaborate with analysts, data scientists, and product managers in Agile delivery.
  • Learn from experimentation and pursue ongoing development opportunities.

Skills

Python
BigQuery/SQL
APIs & MCPs
Data pipelines
CI/CD
Security frameworks
Unit testing
Communication

Education

Bachelor's degree in Computer Science, Engineering, or related field
Master's degree in relevant field

Tools

Google Cloud / cloud environments
Database querying tools
CI/CD tooling

Job description

The Home Depot is seeking an Application Engineer to develop secure, scalable data pipelines and AI-enabled tools that improve profitability, efficiency, and customer experience. You will refactor prototypes, productionalize solutions, and integrate APIs and MCPs while upholding security and quality standards.

You will collaborate with data engineers, analysts, and business partners to design, build, and productionize new applications, balancing workload and prioritizing effectively in an Agile

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