Position Purpose:
The Data Engineer is an exciting new role with The Home Depot’s Home Services team that will revitalize and invigorate the way we manage and view data. For this role, we are looking for someone who can develop, implement, test and maintain data pipelines and data structures within a cloud-based data store & warehouse. This person will support the Home Services BI and Data Science strategic initiatives to drive better customer experiences, more profitable outcomes, and actionable business insights. As a Data Engineer, you will be part of a dynamic team with data practitioners of all experience levels who help each other build and grow technical skills while creating, deploying, and supporting data products.
Why work here? Our entrepreneurial roots and maverick mentality, coupled with the resources and backing of the #1 home improvement retailer in the world, The Home Depot, is a unique opportunity for you to be a transformative data professional. Our culture is rooted in curiosity, development, and fun. Most importantly, our team members are always inspired, engaged, and ready for growth. That means you'll have the resources and the runway to create exceptional out-of-the-box work. Moreover, you will play an important role in leveraging our culture, people, systems, processes, and technology - ultimately to provide incredible customer and associate experiences, while growing business for Home Services and The Home Depot. This is your chance to be part of something big!
Key Responsibilities:
60% - Develop, test, deploy, and maintain data pipelines and products; Maintain established data architectural standards and ETL/ELT best practices consistent with a cloud-based data store in an analytic use case. Consistently helps the team achieve results even under tough circumstances.
20% - Interface with analysts, data scientists, product managers, business leaders, and others in IT to discuss the design, implementation, and testing of data pipelines and products. Actively engage in the Agile delivery process and participate in improvement conversations.
20% - Learn through successful and failed experimentation when tackling new problems; Actively seek ways to grow and be challenged using both formal and informal development channels (including self-development).
Direct Manager/Direct Reports:
Travel Requirements:
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Minimum Qualifications:
Preferred Qualifications:
Native understanding of data engineering fundamentals and architecture
Experience building ETL/ELT pipelines with orchestration through Jenkins
Strong SQL query writing with columnar databases (BigQuery)
Exposure to CI/CD tools (jenkins), version control (git), data processing (dbt), and workflow orchestration (airflow/kubeflow/etc.)
Experience with data warehousing and dimensional modeling
Programming ability (python)
Familiarity with Agile methodologies and the Jira platform
Ability to go from whiteboard discussion to code
Ability to communicate effectively with technical and non-technical audiences
Natural inclination to explore and implement new ideas and technologies
Experience working directly with subject matter experts in both business and technology
Ability to act independently with minimal supervision
Minimum Education:
Preferred Education:
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Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
Action Oriented
Collaborates
Communicates Effectively
Customer Focus
Drives Results
