Senior Software Engineer, Supply Chain Data & Analytics (Remote)

Home Depot • Atlanta, GA • 3h ago

Position Purpose:

The Senior Data Engineer is an experienced individual contributor responsible for designing, building, and operating scalable data platforms and data products within the Enterprise Data Warehouse (EDW). This includes developing and maintaining core data domains, semantic layers, and enabling downstream analytics consumers. This engineer partners with staff and principal engineers to implement established architectural patterns, contribute to platform modernization efforts, and provide technical guidance through collaboration and code reviews while remaining hands-on in complex backend data engineering work. The role emphasizes reliability, 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 on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens

20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels

20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people

10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions

Direct Manager/Direct Reports:

This position typically reports to Software Engineer Manager or Sr. Manager

This position 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:

2-4 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

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:

No additional education

Minimum Years of Work Experience:

Preferred Years of Work Experience:

No additional years of experience

Minimum Leadership Experience:

None

Preferred Leadership Experience:

None

Certifications:

None

Competencies:

Global Perspective

Manages Ambiguity

Nimble Learning

Self-Development

Collaborates

Cultivates Innovation

Situational Adaptability

Communicates Effectively

Drives Results

Interpersonal Savvy

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