Staff Software Engineer, Enterprise Data Warehouse

The Home Depot

. Design, build, and operate enterprise-scale data platforms and data products within the Enterprise Data Warehouse .

Posted 10/6/2026full-timeRemote • United StatesLead💰 $120,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in backend data engineering and analytics platform engineering, with a strong focus on cloud data warehouses, advanced SQL, and Python. Capable of designing enterprise-grade data models and implementing CI/CD processes to enhance data platform performance and scalability.

Highest-signal resume keywords

Backend Data EngineeringCloud Data WarehousesAdvanced SQLPython ProgrammingCI/CD Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingPerformance TuningCost OptimizationSemantic Layer DevelopmentAgile MethodologiesSoftware DevelopmentTest Suite DevelopmentHigh Availability DesignResilience EngineeringScalability Design

Soft Skills

MentoringCollaborationInfluencing Without Authority

Tools & Technologies

BigQueryAtScaleJenkinsAirflow

Industry Keywords

Enterprise Data WarehouseData PlatformsAnalytics ConsumersArchitectural StandardsProduct Team Collaboration

Tech Stack

Tools & technologies

AirflowBigQueryCloudJenkinsPythonSQL

About the role

Key responsibilities & impact

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 support rapid production deployments
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 on modern software development frameworks and lead technical discussions
Identify team gaps and suggest changes to improve productivity
Report typically to a Software Engineer Manager or Senior Manager
No travel required

Requirements

What you’ll need

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 of study related to the job