Staff Software Engineer - Enterprise Data Warehouse (Remote)

The Home Depot

United States

Remote

USD 120,000 - 190,000

Full time

14 days+

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Job summary

The Home Depot is seeking a Staff Data Engineer to design, build, and operate enterprise-scale data platforms within the EDW. You will define standards, drive modernization, mentor engineers, and stay hands-on in backend data engineering, prioritizing scalability, performance, and analytical correctness across the EDW.

You will collaborate with product teams to ensure user stories are clear, testable, and ready for development, while leading complex initiatives and promoting best practices

Qualifications

5+ years of backend data engineering or analytics platform experience.
Strong hands-on experience with cloud data warehouses (BigQuery preferred).
Advanced SQL and Python proficiency.
Experience designing enterprise-grade data models.
Experience with semantic layers across domains; AtScale preferred.
CI/CD and orchestration experience (Jenkins, Airflow).
Ability to influence architecture without direct authority.

Responsibilities

Delivery and execution of software for enterprise data platforms with measurable business value.
Learn and grow through formal and informal development channels.
Plan and align with Product teams; translate user stories into testable items and architectures.
Support and enable teams by guiding modern software development practices and discussions.

Skills

Backend data engineering

Analytics platform engineering

SQL expertise

Python

Cloud data warehouses

Data modeling

Semantic layers

CI/CD

Airflow

Performance tuning

Education

Bachelor's degree

Tools

BigQuery

AtScale

Jenkins

Airflow

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Staff Data Engineer is a senior technical leader responsible for designing, building, and operating enterprise-scale data platforms and data products within the Enterprise Data Warehouse (EDW). This includes foundational data domains, semantic layers and downstream analytics consumers. This engineer will help define architectural standards, drive platform modernization, and mentor other engineers while remaining hands‑on in complex backend data engineering efforts. The role emphasizes scalability, performance, cost efficiency, and analytical correctness across the EDW ecosystem.

Key Responsibilities:

50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes a broad view when approaching issues; using a global lens; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances
10% Learns and Grows - Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
20% Plans and Aligns - Creates new and better ways for the organization to be successful; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Works the Product Team to ensure user stories are developer ready, easy to understand and testable; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people; Adapts approach and demeanor in real time to match the shifting demands of different situations
20% Supports and Enables - Fields questions from product and engineering teams; Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions; Notes gaps on the team and provides suggestions for changes to make the team more productive

Direct Manager/Direct Reports:

This position typically reports to Software Engineer Manager or Sr. Manager
This position typically has 0 Direct Reports

Travel Requirements:

No travel required.

Physical Requirements:

Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.

Working Conditions:

Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:

Must be eighteen years of age or older.
Must be legally permitted to work in the United States.

Preferred Qualifications:

5+ yearsof experience in backend data engineering or analytics platform engineering
Strong hands‑on experience with cloud data warehouses(BigQuery strongly preferred)
Advanced SQLexpertise 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 modelingacross multiple domains or products
Experience with CI/CD and orchestration frameworks, including Jenkins and Airflow
Strong understanding of performance tuning and cost optimization techniquesin large data environments
Experience designing systems for high availability, resilience, and scalability
Ability to work across teams and influence architectural decisions without direct authority

Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelor’s degree program or equivalent degree in a field of study related to the job.

Preferred Education: